Compare leading AI models & Understand which is the best model for your needs. [Updated 24th of April]
April 2026 became the busiest model month of the year, and the back half was louder than the front. OpenAI shipped GPT-5.5 on April 23, less than two months after GPT-5.4, with a 60% drop in hallucinations and 88.7% on SWE-bench. Anthropic launched Claude Design on April 17, an experimental Labs product for slides, prototypes, and mockups powered by Claude Opus 4.7. OpenAI released ChatGPT Images 2.0 on April 21, finally solving readable text rendering in AI images. Google rolled out Gemini 3.1 Flash TTS on April 15. Claude Cowork hit GA on Mac on April 9. OpenAI introduced GPT-Rosalind, a reasoning model built for life sciences research, on April 16.
Earlier in the month, Anthropic shipped Claude Opus 4.7, Google launched a native Gemini Mac app, Microsoft released its first in-house foundation models (MAI-Transcribe-1, MAI-Voice-1, MAI-Image-2), Google open-sourced Gemma 4 under Apache 2.0, Alibaba shipped Qwen 3.6-Plus, and Meta released Muse Spark. OpenAI also completed the full retirement of GPT-4o from ChatGPT on April 3.
The top models are closer together than ever, which makes picking the right one for your specific task more important, not less. GPT-5.5 is the new default for daily chat and knowledge work. Claude Opus 4.7 is our editorial pick for coding and agentic tasks. Gemini 3.1 Pro still leads on accuracy and reasoning benchmarks. Grok 4.20 brings real-time data and multi-agent depth at lower cost. Below, we break down which model wins each category, why, and when you should consider the alternatives.
DeepSeek released V4 Preview on April 24, ending months of “imminent launch” reporting with a full drop on Hugging Face and the DeepSeek API. Two variants: V4 Pro at 1.6T total parameters / 49B active (MoE, 1M context, Apache 2.0) and V4 Flash at 284B / 13B active (MoE, 1M context). Leaked benchmarks show 90% HumanEval and 80%+ on SWE-bench Verified, matching Claude Opus 4.6 and sitting marginally below GPT-5.4 and Gemini 3.1 Pro on reasoning. API pricing is brutal: Flash at $0.14 / $0.28 per 1M tokens, Pro at $1.74 / $3.48 per 1M tokens, making Pro the cheapest large frontier model by a wide margin. V4 is now the strongest open-weight model overall and the most cost-effective path to frontier-adjacent performance.
OpenAI released GPT-5.5, its new frontier coding and reasoning model, less than two months after GPT-5.4. It scores 88.7% on SWE-bench and 92.4% on MMLU, with a 60% drop in hallucinations versus GPT-5.4. Gains are strongest in agentic coding, computer use, knowledge work, and early scientific research. GPT-5.5 is rolling out to Plus, Pro, Business, and Enterprise users in ChatGPT and Codex. GPT-5.5 Pro is live for Pro, Business, and Enterprise users, scoring 39.6% on FrontierMath Tier 4 (nearly double Claude Opus 4.7’s 22.9%). API pricing is $5 per 1M input tokens and $30 per 1M output tokens, with a 1M-token context window.
OpenAI shipped ChatGPT Images 2.0 (API model name gpt-image-2), the long-awaited successor to GPT Image 1.5. The headline feature is readable typography, which has been the single hardest capability in image generation. Images 2.0 renders legible text in dense layouts like menus, scientific diagrams, and infographic posters. It handles non-Latin scripts (Japanese, Korean, Chinese, Hindi, Bengali), supports 2K resolution, aspect ratios from 3:1 to 1:3, and generates up to 8 coherent images from a single prompt with character continuity. The standard version is free for all ChatGPT, Codex, and API users; thinking mode (web search, multi-image generation, self-verification) is paid only.
Anthropic launched Claude Design, an experimental Anthropic Labs product for slides, prototypes, one-pagers, and mockups. It is powered by Claude Opus 4.7 and available in research preview for Pro, Max, Team, and Enterprise subscribers. Export to PDF, URL, PPTX, or Canva. Teams that plug in their design system get brand-consistent output by default. This is the first credible AI product built specifically around the deck as a structured format, not a canvas of image blocks.
Anthropic released Claude Opus 4.7 across Claude.ai, the API, Amazon Bedrock, Microsoft Foundry, and Google Vertex AI. Anthropic reports meaningful improvements on SWE-bench Verified, SWE-bench Pro, and GPQA Diamond versus Opus 4.6, with third-party trackers like Vellum AI and VentureBeat citing scores in the high-80s on SWE-bench Verified and mid-60s on SWE-bench Pro. Our full writeup sits at Claude Opus 4.7: Everything You Need to Know.
OpenAI introduced GPT-Rosalind, a reasoning model built for life sciences research, drug discovery, and translational medicine. It reasons over molecules, proteins, genes, and pathways, and handles multi-step workflows like literature review, sequence-to-function interpretation, and experimental planning. This is enterprise-only, available in research preview via OpenAI’s trusted-access program, delivered through ChatGPT Enterprise, Codex, and the API, with SOC 2 Type 2 and HIPAA-aligned governance. Early partners include Amgen, Novo Nordisk, Moderna, Thermo Fisher, Oracle Health, NVIDIA, the Allen Institute, Benchling, and UCSF School of Pharmacy.
Perplexity launched Personal Computer for Max subscribers on Mac, bringing multi-model orchestration to your own device across local files, native apps, connectors, and the web.
Google launched Gemini 3.1 Flash TTS in preview on the same day as the Mac app. It introduces audio tags, natural-language commands you embed directly in the text to control tone, pacing, accent, and expression mid-sentence. It supports over 70 languages and scored an Elo of 1,211 on the Artificial Analysis TTS leaderboard, above ElevenLabs v3 on blind preference. All output carries SynthID watermarking. Available via the Gemini API, Google AI Studio, Vertex AI, and Google Vids.
Google launched a native Gemini app for Mac for every Gemini user on macOS 15 or later, globally, at no cost (Google’s official announcement has the full feature list). Option + Space opens a quick chat, window sharing lets Gemini see what is on your screen, and the app supports local files. Nano Banana and Veo are built in for image and video generation.
Canva launched Canva AI 2.0 as a conversational, agentic creative platform that works across text, image, and video workflows. It pairs with Nano Banana Pro for image work and positions Canva as a direct competitor to Gamma for AI-first design.
Meta Superintelligence Labs released Muse Spark, a natively multimodal reasoning model accepting text, image, and voice inputs. It offers instant and thinking modes and runs free through meta.ai and the Meta AI app. Third-party trackers rate it below GPT-5.4, Gemini 3.1 Pro, and Claude Opus 4.6 on overall intelligence but strong on medical benchmarks.
OpenAI completed the full retirement of GPT-4o from all ChatGPT plans on April 3, finishing a phaseout that began February 13. Per OpenAI’s help docs, chats previously on GPT-5.1 now continue on GPT-5.3 Instant, GPT-5.4 Thinking, or GPT-5.4 Pro depending on plan and routing, and GPT-5.4 mini is used as a fallback and for Free and Go tiers on Thinking. GPT-4o remains available via the API for legacy applications.
Microsoft released three in-house AI models: MAI-Transcribe-1 (speech transcription), MAI-Voice-1 (voice generation), and MAI-Image-2 (image creation). All three are available through Microsoft Foundry and the new MAI Playground. This is Microsoft’s first serious push to build its own foundation models alongside its existing OpenAI partnership.
Google released Gemma 4 in four sizes, Effective 2B (E2B), Effective 4B (E4B), 26B Mixture of Experts (MoE), and 31B Dense, under an Apache 2.0 license, the first Gemma family under an OSI-approved open source license. The Gemma family has now passed 400 million total downloads. The 31B Dense model is competitive with much larger proprietary models on reasoning benchmarks while running on a single high-end GPU, and the 26B MoE activates only 3.8B parameters at inference for low-latency use cases.
Alibaba released Qwen 3.6-Plus with enhanced coding capabilities, claiming parity with Claude Opus 4.5 on SWE-bench. Combined with Qwen 3.5 (397B MoE, 17B active per token, 201 languages, Apache 2.0), Alibaba is now a credible challenger to Western frontier labs in the open-weight space.
OpenAI confirmed the Sora app shuts down on April 26, 2026, with the API following on September 24, 2026. If you currently rely on Sora 2 for video generation, the migration window to Veo 3.1 or Kling 3.0 is now measured in weeks.
AI models change fast. New versions are released, performance shifts, and strengths evolve over time. To keep this comparison accurate and up to date, we publish a Best AI of the Month analysis every month, based on the latest model updates and real-world performance. Below are our most recent monthly rankings, where we take a deeper look at how the leading AI models performed during each month.
Claude Sonnet 4.6 still leads on style, voice fidelity, and instruction-following, the qualities that matter most for writers. GPT-5.5 took the top of the GDPval leaderboard on April 23 with a 60% drop in hallucinations, but Sonnet remains the model writers actually reach for when tone and voice consistency matter.
GPT-5.5 is OpenAI’s new frontier model and the strongest ChatGPT version to date. It hallucinates 60% less often than GPT-5.4, scores 92.4% on MMLU, and brings stronger computer-use and agentic coding via Codex. It is rolling out to Plus, Pro, Business, and Enterprise.
ChatGPT Images 2.0 (gpt-image-2) is the new benchmark, launched April 21. It is the first image model that renders readable typography inside dense layouts like infographics, menus, and diagrams, supports 2K output, and handles non-Latin scripts. Gemini 3.1 Flash Image (Nano Banana 2) is still the speed and cost leader.
Google’s Veo 3.1 is our editorial pick for cinematic video: 24fps output, native audio, Scene Extension for 60+ second narratives, and Ingredients to Video for consistent characters across scenes. On Artificial Analysis’s text-to-video leaderboards, other models currently rank higher on raw preference, so treat this as an editorial call on production quality.
Claude Opus 4.7 outperforms Opus 4.6 across industry coding benchmarks including SWE-bench Verified, SWE-bench Pro, and agentic computer use. It leads on complex, multi-file engineering tasks and supports parallel sub-agent coordination through Claude Code with task budgets. GPT-5.5 is neck-and-neck at 88.7% SWE-bench.
Grok 4.20 uses a four-agent deliberation system that pushes toward less predictable output, combined with real-time data access for culturally current ideas. The most willing to take unexpected directions, and the best fit when you want divergence over safety.
Gemini 3.1 Pro at 94.3% on GPQA Diamond and 77.1% on ARC-AGI-2, with native Google Search grounding for live factual answers. Available on Mac through the free native Gemini app, with model access subject to Google’s plan limits and routing.
Claude Opus 4.7 Thinking extends Anthropic’s chain-of-thought approach onto the Opus 4.7 base, with task budgets to control agentic token spend. GPT-5.5 Pro is the new challenger, scoring 39.6% on FrontierMath Tier 4, nearly double Opus 4.7’s 22.9%, especially strong on hard math and physics.
Claude Sonnet 4.6 remains the strongest writing model in April 2026, even as the benchmark landscape shifts beneath it. On the GDPval-AA Elo leaderboard, the metric that measures real expert-level office work including drafting, editing, and document creation, GPT-5.5 (released April 23) now leads with stronger performance than both GPT-5.4 (1,671 Elo) and Sonnet 4.6 (1,643 Elo). But GDPval-AA measures structured knowledge-work output across 44 occupations, not writing quality in the sense most writers care about, voice, tone fidelity, narrative coherence, and the ability to follow a tightly defined style guide without drifting. On those dimensions, Sonnet 4.6 still has no real competitor.
The practical advantage comes from Anthropic’s focus on instruction-following. Sonnet 4.6 reliably maintains tone, follows complex style guides, and produces clean structured output without extensive prompt engineering. It handles long-form documents with strong coherence, maintaining argument structure and factual consistency across thousands of words. For branded content, ghostwriting, editorial work, and any project where the output needs to sound like a specific human voice, Sonnet 4.6 is the model writers actually reach for. Anthropic released it on February 17, 2026, with a 1M token context window and 64K max output tokens.
GPT-5.5 is the strongest runner-up and is now the better choice for high-volume structured knowledge work: reports, summaries, business documents, technical writeups. Its 60% drop in hallucinations versus GPT-5.4 means fewer factual errors in research-heavy prose, and its native Tool Search integration makes it the best option for writers who blend research with drafting. At $5 / $30 per million tokens, it is more expensive than Sonnet 4.6 ($3 / $15), so factor that in for high-volume work.
Gemini 3.1 Pro, despite strong accuracy benchmarks like 94.3% GPQA Diamond and 77.1% ARC-AGI-2, scores below both Claude and GPT models on the writing leaderboard, which is why it does not lead this category despite leading on factual tests. It is worth considering for accuracy-critical writing such as scientific summaries or financial content where factual grounding matters more than prose quality.
Model | Writing Benchmark | Instruction Following | Price (I/O per 1M) | Best For |
|---|---|---|---|---|
GPT-5.5 | New GDPval leader, 60% fewer hallucinations vs 5.4 | Very Good | $5 / $30 | Documents, reports, knowledge work |
Claude Sonnet 4.6 | GDPval-AA: 1,643 Elo | Excellent | $3 / $15 | Long-form, style-guide compliance |
Gemini 3.1 Pro | GPQA Diamond: 94.3% | Good | $2 / $12 | Research-heavy, accuracy-critical |
Claude Opus 4.7 | GDPval-AA strong | Excellent | $5 / $25 | Complex writing with reasoning |
GPT-5.4 | GDPval-AA: 1,671 Elo (prior leader) | Very Good | $2.50 / $15 | Budget option, still widely available |
GPT-5.5 is the strongest second pick and the better choice for structured knowledge work and research-heavy drafting. Gemini 3.1 Pro is worth considering for accuracy-critical writing. Claude Opus 4.7 handles longer multi-section documents with stronger structural reasoning when budget is not a constraint.
GPT-5.5 (April 23) overtook both GPT-5.4 and Sonnet 4.6 on the GDPval-AA leaderboard and dropped hallucinations by 60%. Sonnet 4.6 still leads on style, voice fidelity, and instruction-following, but GPT-5.5 is now the better default for structured knowledge work and business documents.
GPT-5.5 is OpenAI’s new frontier model and the strongest ChatGPT version to date. The upgrade from GPT-5.4 is substantial: 88.7% on SWE-bench, 92.4% on MMLU, and a 60% drop in hallucinations compared to GPT-5.4. For a daily assistant that answers random questions, reads documents, and moves across tools, fewer hallucinations matter more than another benchmark point. Rolling out now to Plus, Pro, Business, and Enterprise users in ChatGPT and Codex.
The model’s agentic and computer-use gains also change what a daily AI assistant can mean. GPT-5.5 is stronger than any prior OpenAI model at operating software, filling forms, moving across tools, and executing multi-step desktop workflows without step-by-step guidance. Paired with Codex, it can now finish tasks that previously required a human in the loop. Context window is 1M tokens via API, with pricing at $5 / $30 per million input/output tokens. GPT-5.5 Pro is live for Pro, Business, and Enterprise at $30 / $180 per million.
For users who do not need frontier-tier performance, GPT-5.4 remains widely available at $2.50 / $15 and is still excellent. ChatGPT’s routing automatically flows everyday chats through GPT-5.3 Instant, GPT-5.4 Thinking, or GPT-5.4 Pro depending on plan, with GPT-5.4 mini serving as a fallback and as the Thinking default for Free and Go tiers. If you are on Plus or Pro, GPT-5.5 is now your default model; if you are on Free, you will still see the GPT-5.4 family.
Gemini 3.1 Pro is the most competitive alternative for research-heavy conversations, with native Google Search grounding that provides citation-backed answers. It is also available as a free native Mac app with Option + Space quick-chat. At $2 / $12 per million tokens, it costs less than GPT-5.5 at the API level. Grok 4.20 is the strongest option for real-time X and web data, with significantly lower per-token pricing that makes it cost-effective for developers building chatbot applications.
Model | Chat Quality | Tool / Web Access | Computer Use | Best For |
|---|---|---|---|---|
GPT-5.5 | Excellent | Native + Tool Search | Improved vs 5.4 | Daily tasks, automation, research |
Gemini 3.1 Pro | Excellent | Google Search native | Limited | Research-heavy conversations |
Grok 4.20 | Very Good | Real-time X / web | No | Current events, creative chat |
Claude Opus 4.7 | Very Good | Limited | Agent teams | Deep analytical conversations |
GPT-5.4 | Excellent | Native + Tool Search | Yes (OSWorld 75%) | Default tier, lower cost |
Gemini 3.1 Pro is the strongest alternative for users who prioritize accuracy and research depth. Grok 4.20 is the best choice for real-time information and costs a fraction of GPT-5.5 at the API level. GPT-5.4 is still the right pick if you want ChatGPT-grade quality at lower cost.
GPT-5.5 shipped on April 23 with 60% fewer hallucinations than GPT-5.4 and is now the default ChatGPT model for Plus, Pro, Business, and Enterprise. Google shipped a native Gemini Mac app on April 15 with Option + Space and window sharing.
ChatGPT Images 2.0 is the new benchmark. OpenAI’s April 21 release (API model name gpt-image-2) finally solved the single hardest capability in AI image generation: readable text inside images. Images 2.0 renders legible typography in dense layouts like menus, signs, scientific diagrams, and infographic posters, and it handles non-Latin scripts like Japanese, Korean, Chinese, Hindi, and Bengali. It supports 2K resolution, aspect ratios from 3:1 to 1:3, and generates up to 8 coherent images from a single prompt with character and object continuity across the batch.
The thinking mode (paid subscribers only) adds web search, multi-image generation from one prompt, and self-verification. The standard version is free for all ChatGPT, Codex, and API users. For posters, slides, infographics, branded content, and any image where text is in the frame, Images 2.0 is now the clear default.
Gemini 3.1 Flash Image (Nano Banana 2) is still the better choice for speed, cost, and native 4K output. It is also deeply integrated across Google products (Gemini app, Search AI Mode, Google Ads, Flow, and the new Mac app), which matters if you already live in that stack. For high-volume production where cost-per-image matters, Gemini is usually the cheaper pick. Use Images 2.0 when text is in the frame; use Flash Image when speed and cost matter more.
Gamma integrates Nano Banana Pro directly inside decks for in-deck image generation, which makes it one of the fastest prompt-to-slide paths available. Canva AI 2.0 pairs with Nano Banana for design generation. Flux 2 [max] excels at photographic skin texture and fine-art aesthetics, and remains the strongest open-ecosystem option for artistic style diversity. For a deeper side-by-side on the prior leaders, see our Gemini Nano Banana Pro vs GPT-Image-1.5 ultimate comparison.
Model | Current Leaderboard Position | Best Strength | Known Weakness | Best For |
|---|---|---|---|---|
ChatGPT Images 2.0 (gpt-image-2) | New benchmark, Apr 21 launch | Readable text, multilingual scripts, 2K, thinking mode | Cost for thinking mode | Posters, slides, infographics, branded content |
Gemini 3.1 Flash Image / Nano Banana 2 | Top of recent LM Arena snapshots | Speed + multilingual + 4K | Less artistic range | High-volume, multilingual |
GPT Image 1.5 (high) | Still strong, now superseded | Text rendering + photorealism | Cost | Legacy projects in production |
Gemini 3 Pro Image | Top-tier | Diverse style range | Slightly lower realism | Varied creative projects |
Flux 2 [max] | Top open-ecosystem | Artistic, skin texture | Text rendering | Fine art, photography |
Gemini 3.1 Flash Image is the best cost and speed pick for high-volume or multilingual work. Flux 2 stays the leader on photographic skin texture and fine-art aesthetics. In Fello AI, you get both ChatGPT Images 2.0 and Gemini 3.1 Flash Image under one $9.99/month subscription.
ChatGPT Images 2.0 launched on April 21 and took the top spot on text rendering, multilingual scripts, and infographic-style output. Microsoft released MAI-Image-2 on April 2, too new to rank but worth watching.
Video is the most contested category right now. Artificial Analysis’s current text-to-video leaderboards place HappyHorse-1.0 at #1, Seedance 2.0 at #2, and Kling 3.0 1080p Pro at #3. On pure preference voting, no single model is a universal winner.
Our editorial pick for cinematic production work is Veo 3.1. Google says it generates at 24fps with optional 4K output, produces synchronized audio, sound effects, ambient noise, and dialogue natively in the same pass, and follows complex multi-element prompts. It also ships two capabilities that separate it from the field: Scene Extension for continuous narratives exceeding 60 seconds, and Ingredients to Video, which lets you upload up to three reference images to lock character face, clothing, and environment consistently across all scenes.
Veo 3.1 Lite (launched March 31) brings the family’s quality to cost-sensitive workflows at $0.05/sec (720p) and $0.08/sec (1080p), less than half the price of Veo 3.1 Fast. Combined with Veo 3.1 (balanced) and Veo 3.1 Pro (premium), Google now covers every budget tier in the video category from a single family.
OpenAI’s Sora app shuts down on April 26, 2026, with the API following September 24, 2026. If you currently use Sora 2, migrate to Veo 3.1, Kling 3.0, Seedance 2.0, or HappyHorse-1.0 before the deadline.
Kling 3.0 from Kuaishou is the best value option for high-volume production, with Multi-Shot Storyboard letting you define entire sequences with individual prompts, camera angles, and transitions. Seedance 2.0 occupies a different niche: its multi-modal input with audio reference makes it the best tool for music video production and brand content that needs to match a specific audio track.
Model | Native Audio | Resolution | Best Strength | Best For |
|---|---|---|---|---|
Veo 3.1 | Yes | Up to 4K / 24fps | Prompt accuracy, cinematic | Broadcast, commercial, film (editorial pick) |
HappyHorse-1.0 | – | – | Currently #1 on Artificial Analysis text-to-video | Benchmark-leading preference voting |
Seedance 2.0 | Yes (+ audio ref) | 1080p / 24fps | Multi-modal input, #2 on Artificial Analysis | Music video, brand content |
Kling 3.0 1080p Pro | Yes | 1080p / 24fps | Low cost, multi-shot storyboard | Rapid prototyping, social |
Sora 2 | Yes | 1080p / 24fps | Physics simulation | Shutting down April 26, 2026 |
HappyHorse-1.0 and Seedance 2.0 lead preference voting on Artificial Analysis. Kling 3.0 is the best cost-per-clip option for social and rapid prototyping. Migrate away from Sora 2 before April 26.
Veo 3.1 Lite launched March 31 at less than half the price of Veo 3.1 Fast. The Sora app shuts down April 26, 2026, with the API following September 24.
Coding is the most contested category right now. Claude Opus 4.7 and GPT-5.5 are neck and neck, and the right pick depends on the shape of your codebase. Anthropic reports Claude Opus 4.7 outperforms Opus 4.6 across industry benchmarks including SWE-bench Verified, SWE-bench Pro, and agentic computer use, and third-party trackers like Vellum AI and VentureBeat back this with scores in the high-80s on SWE-bench Verified and mid-60s on SWE-bench Pro. SWE-bench Pro tests real GitHub issues from open-source repositories, requiring the model to understand an existing codebase, identify relevant files, and write a correct patch.
GPT-5.5 scored 88.7% on SWE-bench at launch on April 23 and brings the strongest agentic coding performance OpenAI has shipped to date, especially inside Codex. For tasks that need computer-use, tool chains, and multi-step automation, GPT-5.5 is the new benchmark. For deep multi-file refactors where context carries across many files, Opus 4.7 still has the edge. If your workflow is agent-first, pick GPT-5.5. If your workflow is refactor-first, pick Opus 4.7.
The architecture advantage for Claude Opus 4.7 is the multi-agent system plus the task budgets feature in public beta. Through Claude Code, Opus 4.7 can spawn and coordinate parallel sub-agents, delegating different parts of a codebase to independent processes and recombining results, and now controls token spend per agentic loop before it starts. On large refactors or feature additions spanning multiple files and modules, this combination handles work that single-context models struggle with. Anthropic also says it specifically trained Opus 4.7 to reduce logic hallucinations, the class of error where code is syntactically valid but logically incorrect.
Gemini 3.1 Pro is still the best cost-effective alternative, especially for very large codebases where its 1M token context and $2 / $12 per million tokens matter more than the absolute top score. Claude Sonnet 4.6 (around 79.6% SWE-bench Verified) is the right choice for daily coding assistance at $3 / $15. On the open-weight side, DeepSeek V4 Pro (shipped April 24) is now the strongest open-weight coding model with 80%+ SWE-bench Verified and 90% HumanEval at $1.74 / $3.48 per 1M tokens, with Alibaba’s Qwen 3.6-Plus (April 2) a strong second.
Model | Coding Strength | Context | Price (I/O per 1M) | Best For |
|---|---|---|---|---|
GPT-5.5 | 88.7% SWE-bench, strongest agentic coding + Codex | 1M | $5 / $30 | Agentic coding, Codex workflows, computer use |
Claude Opus 4.7 | Anthropic-reported leader on SWE-bench Verified and Pro | 1M | $5 / $25 | Complex multi-file refactors, long context |
Gemini 3.1 Pro | 80.6% SWE-bench Verified | 1M | $2 / $12 | Long-context, cost-sensitive, Google Cloud work |
Claude Sonnet 4.6 | 79.6% SWE-bench Verified | 1M | $3 / $15 | Daily coding, near-Opus quality |
GPT-5.4 | Strong computer-use and IDE automation | 1.05M | $2.50 / $15 | Rapid prototyping on a budget |
Claude Opus 4.6 | 80.8% SWE-bench Verified (prior leader) | 1M | $5 / $25 | Legacy workflows |
DeepSeek V4 Pro | 80%+ SWE-bench, 90% HumanEval | 1M | $1.74 / $3.48 | Open-weight, cost-sensitive coding |
For cost-sensitive or large-context work, Gemini 3.1 Pro is the right call at $2 / $12. Claude Sonnet 4.6 at $3 / $15 is the best quality-to-cost option for daily coding. DeepSeek V4 Pro (April 24) is now the strongest open-weight challenger at 80%+ SWE-bench and $1.74 / $3.48 per 1M tokens.
DeepSeek V4 Preview shipped on April 24 and is now the strongest open-weight coding model with 80%+ SWE-bench Verified and 90% HumanEval. GPT-5.5 shipped on April 23 with 88.7% SWE-bench, making proprietary coding a two-horse race with Claude Opus 4.7. Anthropic shipped Claude Opus 4.7 on April 16 with material gains on SWE-bench Verified and Pro over Opus 4.6. Qwen 3.6-Plus (April 2) claimed parity with Opus 4.5 on SWE-bench.
Creativity is the hardest category to measure objectively. There is no authoritative benchmark equivalent to SWE-bench or GPQA Diamond. What we can say with evidence: Grok 4.20 currently sits in the LM Arena top-10 text leaderboard (around 1,485 Elo at the most recent snapshot), and human raters consistently prefer its outputs in open-ended conversation, the domain most relevant to creative collaboration. Grok 4.20 is currently in beta and available only to SuperGrok (~$30/month) and X Premium+ (~$40/month) subscribers.
Grok 4.20’s four-agent architecture is the key differentiator. Four specialized sub-agents (Grok, Harper, Benjamin, and Lucas) deliberate in parallel, fact-check each other, and reach consensus before responding. Grok orchestrates, Harper handles research, Benjamin does logic and math, and Lucas provides contrarian analysis. This process pushes outputs away from the statistically safest, most expected answer. The results are less predictable than other frontier models, which is either an advantage or a drawback depending on your creative workflow. For brainstorming, concept generation, and ideation under uncertainty, that divergence from the expected is exactly what you want.
Real-time data access through X and the broader web gives Grok 4.20 a further creative edge. It can incorporate current cultural references, trending formats, and breaking news into its outputs in a way that models without live data access cannot. For content creators working on topical or trend-driven material, this gives Grok 4.20 relevance that Claude and Gemini cannot match without supplementary search tools. If you are weighing Grok against ChatGPT for daily use, our Grok vs ChatGPT comparison breaks down where each wins.
This is the most subjective category we rank. If you need tight style constraints rather than open-ended divergence, Claude Sonnet 4.6 is the better fit. Its instruction-following precision means it will stay inside defined creative parameters far more reliably than Grok 4.20. GPT-5.5, with its Tool Search integration and 60% hallucination drop, is the best option for creative projects that blend research with ideation, such as long-form journalism or strategy documents. For visual creative work, Claude Design (new on April 17) is now one of the fastest paths from concept to finished deck, and Gamma with Nano Banana Pro is still the fastest prompt-to-slide path when you want in-deck image generation.
Model | Creative Approach | Real-time Data | Arena Elo (recent) | Best For |
|---|---|---|---|---|
Grok 4.20 Beta1 | Multi-agent deliberation | Yes (X + web) | ~1,485 | Topical, brainstorming |
Claude Sonnet 4.6 | Deep instruction following | No | Top-tier | Structured creative writing |
GPT-5.5 | Versatile, tool-enabled, 60% fewer hallucinations | Yes (Tool Search) | New; not yet ranked | Creative + research combined |
Gemini 3.1 Pro Preview | Technically rigorous | Yes (Google) | ~1,493 | Science writing, journalism |
Grok 4.20 is currently in beta. Elo values are snapshot readings from LM Arena and shift weekly.
Claude Sonnet 4.6 for structured creative writing with tight style constraints. GPT-5.5 for creative work that blends research and ideation. Gemini 3.1 Pro for science writing and journalism with factual rigor.
GPT-5.5 (April 23) joined the creativity conversation with versatile tool use and fewer hallucinations. Claude Design (April 17) is the first Anthropic Labs product for visual creative work, powered by Opus 4.7.
Gemini 3.1 Pro is the most factually reliable LLM based on directly reported benchmarks. Google cites 94.3% on GPQA Diamond and 77.1% on ARC-AGI-2, along with 80.6% on SWE-bench Verified. The ARC-AGI-2 score represents a large generational jump over its predecessor.
GPT-5.5 Pro is the strongest new challenger. OpenAI reports near parity with the frontier on GPQA Diamond and a 60% drop in hallucinations versus GPT-5.4. For knowledge-work accuracy and research tasks, GPT-5.5 Pro is now the best fit inside the OpenAI ecosystem. Claude Opus 4.7 is also within noise of Gemini 3.1 Pro and GPT-5.5 Pro on GPQA Diamond, and posts the strongest SWE-bench numbers when “accuracy” includes correct engineering output, not just factual recall.
The native Google Search grounding remains Gemini 3.1 Pro’s operational advantage. For use cases where correctness matters most, medical queries, legal summaries, scientific research, financial analysis, Gemini 3.1 Pro automatically grounds its answers against current search results when needed. This means factual errors from knowledge cutoffs are far less common than in models without live search integration.
For research, analysis, and any task where a factual error has real consequences, Gemini 3.1 Pro remains the safest default. GPT-5.5 Pro is the new second choice thanks to its hallucination drop and tool-enabled research capabilities.
Model | GPQA Diamond | ARC-AGI-2 | Coding benchmark | Arena Elo (recent) | Best For |
|---|---|---|---|---|---|
Gemini 3.1 Pro Preview | 94.3% | 77.1% | SWE-bench Verified 80.6% | ~1,493 | Research, science, factual |
GPT-5.5 Pro | Near parity with frontier | Competitive | SWE-bench 88.7% | New; not yet ranked | Knowledge-work accuracy, 60% fewer hallucinations |
Claude Opus 4.7 | Parity with frontier (per Anthropic) | – | Anthropic-reported lead on SWE-bench | New; not yet ranked | Logic, coding accuracy |
Grok 4.20 Beta1 | Competitive | Strong | – | ~1,485 | Forecasting, real-time |
GPT-5.5 Pro and Claude Opus 4.7 are both within noise of Gemini 3.1 Pro on GPQA Diamond. Pick based on ecosystem: Gemini for Google Workspace, GPT-5.5 Pro for ChatGPT/Codex, Opus 4.7 for engineering accuracy.
GPT-5.5 Pro (April 23) joined the accuracy top tier with a 60% hallucination drop over GPT-5.4. Claude Opus 4.7 (April 16) closed the gap on GPQA Diamond. Claude Opus 4.6 Thinking currently holds the top LM Arena text slot around 1,502 Elo, pending vote accumulation on Opus 4.7.
GPT-5.5 Pro (April 23) took a big swing at this category. It scored 39.6% on FrontierMath Tier 4, nearly double Claude Opus 4.7’s 22.9%. For hard math, physics, and reasoning chains that need extended thinking inside the OpenAI ecosystem, GPT-5.5 Pro is the one to try first.
Claude Opus 4.7 Thinking extends Anthropic’s chain-of-thought mode onto the Opus 4.7 base. Claude Opus 4.6 Thinking still holds the top LM Arena text slot at around 1,502 Elo while the 4.7 release collects enough votes to re-rank, and on Anthropic-reported benchmarks Opus 4.7 already leads its predecessor on multi-step reasoning and engineering tasks. The core capability is explicit step-by-step reasoning: the model surfaces its assumptions, considers alternative paths, and shows the working before committing to an answer. Paired with task budgets in public beta, Opus 4.7 Thinking can now plan the size of its own reasoning envelope before it starts.
The agent team architecture is the decisive advantage for complex problem-solving. Opus 4.7 can decompose a hard problem, assign subtasks to parallel sub-agents via Claude Code, and synthesize results into a coherent solution. This is not a token-level reasoning improvement but a structural one: the model breaks a problem into independently solvable components and recombines them. For problems with no single correct answer, the thinking mode surfaces assumptions and explores alternatives before converging, reducing the risk of confidently wrong outputs.
Gemini 3.1 Pro’s Deep Think mode is the strongest alternative for scientific and mathematical problems. It leads on GPQA Diamond (94.3%) and ARC-AGI-2 (77.1%). For hypothesis testing, research design, and problems with verifiable ground truth, Gemini 3.1 Pro Deep Think rivals Claude Opus 4.7 Thinking. The choice between them often comes down to domain: Opus 4.7 Thinking is stronger on multi-step logic and engineering problems, while Gemini 3.1 Pro Deep Think is stronger on scientific and empirical reasoning.
Grok 4.20 offers a structurally different approach: its four-agent deliberation is always active, not a separately enabled mode. The four sub-agents fact-check each other in parallel before responding, producing a consensus answer rather than a single chain of thought. For forecasting, multi-perspective analysis, and scenarios where contrarian views improve the output, Grok 4.20’s architecture provides a meaningful alternative to the Claude and Gemini extended-thinking approaches.
Model | Extended Reasoning | Multi-agent | Arena Elo (recent) | Best For |
|---|---|---|---|---|
GPT-5.5 Pro | Yes (thinking mode) | Via Codex | New; not yet ranked | 39.6% on FrontierMath Tier 4 (near double Opus 4.7’s 22.9%) |
Claude Opus 4.7 Thinking | Yes (chain-of-thought + budgets) | Yes (Claude Code) | New; not yet ranked | Complex reasoning, agentic work |
Claude Opus 4.6 Thinking | Yes | Yes | ~1,502 (current top text) | Current benchmark leader |
Gemini 3.1 Pro Deep Think (Preview) | Yes | Limited | ~1,493 | Scientific problems, research |
Grok 4.20 Beta1 | Yes (4-agent) | Built-in | ~1,485 | Forecasting, multi-perspective |
GPT-5.5 Pro for hard math and FrontierMath-style problems. Gemini 3.1 Pro Deep Think for scientific reasoning. Grok 4.20 for multi-perspective analysis and forecasting.
GPT-5.5 Pro (April 23) scored 39.6% on FrontierMath Tier 4, nearly double Opus 4.7’s 22.9%. Claude Opus 4.7 Thinking (April 16) introduced task budgets, a new primitive for controlling agentic token spend.
Model | Input (per 1M) | Output (per 1M) | Context Window | Free Tier? |
|---|---|---|---|---|
GPT-5.5 | $5.00 | $30.00 | 1M | No (Plus/Pro/Business/Enterprise in ChatGPT) |
GPT-5.5 Pro | $30.00 | $180.00 | 1M | No (Pro/Business/Enterprise only) |
DeepSeek V4 Flash | $0.14 | $0.28 | 1M | Yes (Hugging Face, API) |
Grok 4.1 Fast | $0.20 | $0.50 | 2M | Yes (limited, via X) |
Gemini 3.1 Flash-Lite | $0.25 | $1.50 | 1M | Yes (Google AI Studio) |
DeepSeek V4 Pro | $1.74 | $3.48 | 1M | Yes (Hugging Face, API) |
Gemini 3 Flash | $0.50 | $3.00 | 1M | Yes (Google AI Studio) |
Gemini 3.1 Pro | $2.00 | $12.00 | 1M | Free Gemini Mac app; model access subject to Google’s plan limits and routing |
GPT-5.4 | $2.50 | $15.00 | 1.05M (premium >272K) | No |
Grok 4.20 | $2.00 | $6.00 | 256K | No |
Claude Sonnet 4.6 | $3.00 | $15.00 | 1M | Yes (claude.ai free) |
Claude Opus 4.7 | $5.00 | $25.00 | 1M | No (new tokenizer: ~1.0 to 1.35x token count) |
Claude Opus 4.6 | $5.00 | $25.00 | 1M | No |
GPT-5.4 Pro | $30.00 | $180.00 | 1.05M | No |
Fello AI (aggregator) | From $9.99/mo | Included | Multiple AI models | Yes (limited free tier) |
API pricing matters most for developers building automation or running high-volume pipelines. For most people paying a flat $20 to $30/month subscription, the per-token rates above are not relevant; you pay the subscription and use the model through chat.
If you want access to multiple AI models without managing separate subscriptions, Fello AI provides GPT, Claude, Gemini, Grok, Perplexity, and more in a single app for Mac, iPhone, and iPad – starting at $9.99/month with a free tier available. Models are updated regularly so you always have access to the latest.
Claude hit #1 on the App Store in early 2026, pushing ChatGPT out of the top spot for the first time. The catalyst was Anthropic publicly refusing the Pentagon’s demand to deploy its models for autonomous weapons and mass surveillance, after which the government labelled Anthropic a “supply chain risk.”
ChatGPT now runs on GPT-5.4, launched on March 5, 2026, while Grok is powered by Grok 4.20 from xAI. Both chatbots have evolved significantly over the past year, and picking between them is no longer as simple as “ChatGPT is the default.” Grok has grown from 1.9% US market share
GPT-5.4 and Gemini 3.1 Pro now score identically at 57 on the Artificial Analysis Intelligence Index, making this the first time the two leading AI assistants are genuinely tied on overall capability. But that single number hides massive differences in what each AI actually does best, and choosing the wrong
Choosing the right AI tool in 2026 feels like trying to hit a moving target. New models arrive every few weeks, and what worked best in January might already be outdated today. This guide cuts through the hype to show you exactly which tools are winning right now based on
TL;DR: In January 2026, there isn’t one “best” AI for everything. On LMArena’s Text leaderboard, Gemini 3 Pro leads user-preference rankings, while the updated Artificial Analysis Intelligence Index v4.0 reports GPT-5.2 (with extended reasoning) as the top overall benchmark performer. Choose based on your task: Gemini for daily assistance, Claude
The last twelve months have been crazy for AI, and especially for image generation: Midjourney v6, FLUX.2, Seedream 4.5, Nano Banana Pro, and GPT-Image-1.5 have all tried to grab market share. With each new release, the line between synthetic and real continues to blur — and two of the most
The best AI for students depends on the task, and no single model wins every category. The good news is that the top models all offer meaningful free tiers. ChatGPT Free now includes GPT-5.4 mini access, Google AI Studio gives free access to Gemini 3.1 Pro and Flash-Lite, Claude Sonnet 4.6 is available free on claude.ai with daily caps, and Grok is free via X with daily limits. Google’s native Gemini Mac app is also free for all Gemini users on macOS 15+, with window sharing for studying from your desktop. For most students, the free tiers cover everyday needs. For intensive research or coding, a paid plan is worth it.
For general coursework, essay writing, and summarizing lecture notes, GPT-5.5 is now the strongest starting point following its April 23 launch with a 60% drop in hallucinations, with Claude Sonnet 4.6 a close second and the better choice when style consistency matters. Both handle structured writing, explain complex concepts clearly, and follow specific formatting requirements. Sonnet 4.6 handles tone adjustments well, which matters when writing for different professors, assignment briefs, or citation styles. At $3 / $15 per million tokens, it remains a cost-effective high-quality writing model and is free on claude.ai with usage limits.
For research-heavy subjects, science, medicine, law, economics, Gemini 3.1 Pro is the strongest tool. Its 94.3% GPQA Diamond score reflects graduate-level scientific reasoning, and its native Google Search grounding means answers are sourced against current publications rather than a frozen training cutoff. The 1M token context window lets you upload an entire textbook, paper collection, or transcript archive in a single prompt and ask questions across the full corpus. For research-intensive assignments, this is a practical capability no other model can currently match at the same price point ($2 / $12).
For coding and computer science students, Claude Opus 4.7 (per Anthropic’s reported SWE-bench gains) and GPT-5.5 (88.7% SWE-bench) are the strongest tools for real engineering problems. For faster, cheaper help with everyday coding exercises and debugging, Claude Sonnet 4.6 (around 79.6% SWE-bench Verified) is nearly as strong at a lower cost. For STEM problem-solving that requires showing step-by-step working, GPT-5.5 Pro is the new leader with a 39.6% FrontierMath Tier 4 score, nearly double Opus 4.7.
For presentations, essays that need visuals, and study decks, Claude Design (launched April 17) is now the fastest way to turn a prompt into a polished deck with PPTX or PDF export. For image-heavy study material like infographics and diagrams, ChatGPT Images 2.0 finally renders readable text inside images.
In practice, students often combine several tools depending on the task. Fello AI lets you switch between multiple AI models in a single app for Mac, iPhone, and iPad, with new models added as fast as possible so you always have access to the latest.
Task | Best Model | Why |
|---|---|---|
Essays & writing | GPT-5.5 / Claude Sonnet 4.6 | New writing leader, 60% fewer hallucinations / best instruction-following |
Research & science | Gemini 3.1 Pro | 94.3% GPQA Diamond, Google grounding, 1M context |
Coding & CS | GPT-5.5 or Claude Opus 4.7 | 88.7% SWE-bench / Anthropic-reported SWE-bench lead, multi-agent via Claude Code |
STEM problem-solving | GPT-5.5 Pro | 39.6% on FrontierMath Tier 4, nearly double Opus 4.7 |
Presentations & decks | Claude Design | New Apr 17 launch, exports to PPTX/PDF/Canva, powered by Opus 4.7 |
Image-heavy projects | ChatGPT Images 2.0 | Readable text in posters, diagrams, infographics |
Budget option | Gemini 3.1 Flash-Lite | $0.25 / $1.50, free via AI Studio |
For professionals, the right AI depends on which part of your job creates the most friction. The models that lead in 2026 are not general-purpose catch-alls; they have genuine specializations, and routing the right task to the right model is where the real productivity gain comes from. Most effective professional setups use two to three models in parallel, each doing what it does best.
For knowledge work like drafts, reports, client communications, and document creation, GPT-5.5 is the April 2026 leader. It took over from GPT-5.4 on April 23 with 88.7% on SWE-bench, 92.4% on MMLU, and a 60% drop in hallucinations, which matters for any professional use case where factual accuracy has stakes. Its agentic coding and computer-use gains go further than any prior ChatGPT version: it can fill out forms, navigate software interfaces, manage files, and execute multi-step desktop workflows inside Codex with less hand-holding. For professionals who spend significant time on repetitive digital tasks, this is materially different. It ships with native Tool Search for real-time web access and is available in ChatGPT Plus, Pro, Business, and Enterprise.
For analytical depth, scientific research, and long-context document analysis, Gemini 3.1 Pro is the cost-effective enterprise option. At $2 / $12 per million tokens, less than half the price of Claude Opus 4.7 and cheaper than GPT-5.5, it delivers 94.3% GPQA Diamond accuracy with a 1M token context window as standard. The native Mac app brings this to anyone on macOS 15+ with a free tier. For teams in legal, finance, healthcare, or engineering who need to process large document sets reliably, Gemini 3.1 Pro’s combination of benchmark-leading factual accuracy and native Google Search grounding makes it the safest default for high-stakes analysis.
For software development teams, Claude Opus 4.7 and GPT-5.5 are now neck and neck. Opus 4.7 is the new leader on complex, multi-file engineering tasks per Anthropic’s reported SWE-bench gains, with parallel sub-agent coordination through Claude Code and the new task budgets feature in public beta. GPT-5.5 scored 88.7% on SWE-bench and is the stronger pick for agentic coding inside Codex and computer-use tasks. Claude Sonnet 4.6 (around 79.6% SWE-bench Verified) is the best quality-to-cost option for individual developers who do not need the full Opus 4.7 agent infrastructure.
For presentations and client-facing decks, Claude Design (launched April 17) is now the fastest end-to-end tool: from outline to branded PPTX or PDF in one conversation, powered by Opus 4.7. ChatGPT Images 2.0 is unmatched for infographic-heavy deck assets. Canva AI 2.0 is a credible alternative as a conversational, agentic creative platform. For on-device agentic work on Mac, Perplexity Personal Computer (Max tier) now runs multi-model orchestration on your own machine across local files, native apps, connectors, and the web.
For voice and narration workflows, Gemini 3.1 Flash TTS is the most controllable option on the market, with audio tags for mid-sentence tone and pacing control across 70+ languages. For life sciences R&D teams specifically, GPT-Rosalind is now available through OpenAI’s trusted-access program for qualified enterprise customers.
The most effective professional setups combine two to three models. Fello AI provides a single interface for Mac, iPhone, and iPad where you can route each task to the right model without context-switching overhead, Claude for coding and technical work, ChatGPT for knowledge work and automation, Gemini for research, Grok for real-time information, and DeepSeek for reasoning, all updated with the newest models as soon as they launch, for $9.99/month.
Use Case | Best Model | Key Stat |
|---|---|---|
Knowledge work & documents | GPT-5.5 | 88.7% SWE-bench, 92.4% MMLU, 60% fewer hallucinations |
Research & analysis | Gemini 3.1 Pro | 94.3% GPQA Diamond, 1M context, free Mac app |
Complex software engineering | Claude Opus 4.7 or GPT-5.5 | Anthropic SWE-bench lead / 88.7% SWE-bench + agentic Codex |
Daily coding | Claude Sonnet 4.6 | 79.6% SWE-bench, $3 / $15 |
Style-consistent writing | Claude Sonnet 4.6 | GDPval-AA 1,643 Elo, best instruction-following |
Real-time information | Grok 4.20 Beta1 | Live X + web data, ~1,485 Arena Elo |
Slides, decks & mockups | Claude Design | New Apr 17 launch, Opus 4.7-powered, export to PPTX/PDF/Canva |
Image assets for decks | ChatGPT Images 2.0 | Text rendering that actually works, 2K output |
Text-to-speech & voice | Gemini 3.1 Flash TTS | Audio tags, 70+ languages, Elo 1,211 |
Life sciences research | GPT-Rosalind | Enterprise-only, trusted-access program |
The open-weight space narrowed the gap with proprietary models faster than anyone expected in late 2025, and April 24, 2026 just accelerated the curve. DeepSeek V4 Preview is now the strongest open-weight model overall and the most cost-effective path to frontier-adjacent performance.
DeepSeek V4 Preview (April 24, 2026, Apache 2.0) ships in two MoE sizes: V4 Pro at 1.6T total parameters with 49B active and a 1M context window, and V4 Flash at 284B total with 13B active, also at 1M context. Leaked benchmarks show 90% HumanEval and 80%+ on SWE-bench Verified, matching Claude Opus 4.6 on coding and falling marginally short of GPT-5.4 and Gemini 3.1 Pro on reasoning. API pricing is what makes it disruptive: V4 Pro at $1.74 / $3.48 per 1M input/output tokens is the cheapest of the larger frontier-adjacent models, and V4 Flash at $0.14 / $0.28 undercuts every proprietary model in its performance class. Both are open-sourced on Hugging Face.
DeepSeek V3.2 (685B total params, 37B active per token, MIT License) remains a strong second open-weight choice on pure reasoning. Its thinking mode scores 93.1% on AIME 2025 and 82.4% on GPQA Diamond, competitive with GPT-5 and Gemini 3 Pro on core reasoning benchmarks. On SWE-bench Verified it hits 70.0%, and the Speciale variant achieved gold-medal performance at the 2025 International Mathematical Olympiad and placed 2nd at the ICPC World Finals. It holds a 1,421 Arena Elo. API pricing at $0.27 / $1.10 per million tokens for the standard non-thinking model still undercuts every proprietary frontier model.
Qwen 3.5 (Alibaba, 397B total params, 17B active per token, Apache 2.0) is the most architecturally interesting release. Its hybrid Gated DeltaNet + Mixture-of-Experts design delivers 8 to 19x faster decoding than its predecessor at roughly 60% lower cost. It scores 88.4% on GPQA Diamond, 93.3% on AIME 2026, and 83.6% on LiveCodeBench v6. It is natively multimodal (text, images, video), supports 201 languages, and the smaller Qwen 3.5-9B variant scores 81.7% on GPQA Diamond while running on a laptop. Qwen 3.6-Plus, released April 2, 2026, builds on this with enhanced coding capabilities and claims parity with Claude Opus 4.5 on SWE-bench.
Mistral Small 4 (Mistral AI, March 16, 2026) is a 119B-parameter MoE model (6B active per token) under Apache 2.0 that unifies instruct, reasoning, and multimodal vision workloads in a single model. It is the most capable Apache 2.0 release of Q1 2026 and is the best open-weight option for teams that want one model to handle everything.
Google Gemma 4 (April 2, 2026) launched in four sizes, E2B, E4B, 26B MoE, and 31B Dense, under Apache 2.0, the first Gemma family under an OSI-approved open source license. The Gemma family has now passed 400 million downloads. The 31B Dense model competes with much larger MoE models on reasoning while running on a single high-end GPU.
Open-weight models are competitive on benchmarks but still trail on latency, ecosystem integrations, and nuanced instruction-following when accessed via third-party APIs. Self-hosting the 397B or 685B models requires serious GPU infrastructure (8 x H100 minimum for good performance). For most individuals and small teams, the API convenience of Gemini 3.1 Pro at $2 / $12 or Claude Sonnet 4.6 at $3 / $15 justifies the cost. For organizations with data-privacy requirements, teams avoiding recurring API costs, or developers who want full control over their inference stack, the open-weight options are now viable production infrastructure, not just “good enough.”
Model | Params (Active) | GPQA Diamond | AIME | License | Best For |
|---|---|---|---|---|---|
DeepSeek V4 Pro | 1.6T MoE (49B active) | Frontier-adjacent | Strong | Apache 2.0 | 80%+ SWE-bench Verified, 90% HumanEval, $1.74 / $3.48 |
DeepSeek V4 Flash | 284B MoE (13B active) | Strong | Strong | Apache 2.0 | Cheapest frontier-class at $0.14 / $0.28 |
Qwen 3.6-Plus | 397B+ MoE | Strong | Strong | Apache 2.0 | Coding (parity with Opus 4.5) |
DeepSeek V3.2 | 685B (37B active) | 82.4% | 93.1% | MIT | Reasoning, coding, math |
Qwen 3.5 | 397B (17B active) | 88.4% | 93.3% (2026) | Apache 2.0 | Multimodal, multilingual |
Mistral Small 4 | 119B (6B active) | Competitive | Competitive | Apache 2.0 | Unified instruct + vision |
Gemma 4 31B | 31B dense | Strong | Strong | Apache 2.0 | Single-GPU inference |
Qwen 3.5-9B | 9B (dense) | 81.7% | – | Apache 2.0 | Local / on-device AI |
Crowd-sourced Arena rankings (arena.ai) are our primary signal for conversational quality. 5.4M votes across 323 models. Limitation: measures preference, not factual accuracy.
For image generation, we cross-reference two major leaderboards – arena.ai (LM Arena) and Artificial Analysis – because they use different user pools and sometimes disagree on rankings. Where they conflict, we note both scores and explain our editorial reasoning.
Standardized benchmarks provide objective measurements: SWE-bench Verified, ARC-AGI-2, GPQA Diamond, LiveCodeBench, GDPval, OSWorld. Each has known weaknesses, which is why we use multiple benchmarks.
Real-world testing and community feedback fills gaps benchmarks miss. Rankings are reviewed and updated monthly.
It depends on what you are doing. For daily chat and general assistance, GPT-5.5 (released April 23, 2026) leads with a 60% drop in hallucinations over GPT-5.4. For coding, Claude Opus 4.7 and GPT-5.5 are neck and neck on SWE-bench. For writing style, Claude Sonnet 4.6 still leads on instruction-following. For accuracy and research, Gemini 3.1 Pro at 94.3% GPQA Diamond. For image generation with readable text, ChatGPT Images 2.0. For slides and mockups, Claude Design. On LM Arena, Claude Opus 4.6 Thinking currently holds the top text slot around 1,502 Elo as votes on Opus 4.7 accumulate.
DeepSeek V4 Preview shipped April 24 (open-source, 1M context, $1.74 / $3.48 per 1M for Pro). GPT-5.5 launched April 23 with a 60% hallucination drop and 88.7% SWE-bench. ChatGPT Images 2.0 launched April 21 with finally-readable text rendering. Claude Design launched April 17 for slides and mockups. Claude Opus 4.7 launched April 16. GPT-Rosalind launched April 16 for life sciences research (enterprise-only). Gemini 3.1 Flash TTS launched April 15. Google shipped a native Gemini Mac app April 15. Canva AI 2.0 launched April 15. Claude Cowork hit GA on Mac April 9. Microsoft released MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 April 2. Google open-sourced Gemma 4 under Apache 2.0 April 2. Alibaba shipped Qwen 3.6-Plus April 2. Meta launched Muse Spark April 8. OpenAI completed the GPT-4o retirement April 3.
GPT-5.5 is OpenAI’s new frontier model, released April 23, 2026. It scores 88.7% on SWE-bench and 92.4% on MMLU, and it hallucinates 60% less often than GPT-5.4. The biggest gains are in agentic coding, computer use, and research tasks. API pricing is $5 / $30 per 1M input/output tokens, with a 1M-token context window. GPT-5.5 Pro is $30 / $180 per 1M and scored 39.6% on FrontierMath Tier 4, nearly double Claude Opus 4.7’s 22.9%.
GPT-5.5 is the best for everyday use, knowledge-work writing, and agentic coding inside Codex. For specific use cases, accuracy and research (Gemini 3.1 Pro), complex multi-file refactors (Claude Opus 4.7), or style-consistent writing (Claude Sonnet 4.6), other models outperform it. ChatGPT’s advantage is breadth: it covers the most tasks well in a single interface.
Claude Design is Anthropic’s new AI tool for creating slides, prototypes, one-pagers, and mockups, launched April 17, 2026. It is powered by Claude Opus 4.7. It is available in research preview to Claude Pro, Max, Team, and Enterprise subscribers and exports to PPTX, PDF, URL, and Canva. It is the first AI product built specifically around the deck as a structured format.
The standard version of ChatGPT Images 2.0 is free for all ChatGPT, Codex, and API users. The thinking mode, which lets the model search the web, generate multiple images from one prompt, and double-check its own output, is reserved for paid subscribers. API model name is gpt-image-2.
No. GPT-Rosalind is a life-sciences research model available only to qualified enterprise customers via OpenAI’s trusted-access program. It is not in ChatGPT Plus or the standard API. If you are not at a research institution or pharma company working on drug discovery, you do not need it.
Gemini 3.1 Flash TTS is Google’s new preview text-to-speech model, launched April 15, 2026. It introduces audio tags that let you embed natural-language commands in your text to control tone, pacing, accent, and expression. It supports 70+ languages and all output is watermarked with SynthID. It scored Elo 1,211 on the Artificial Analysis TTS leaderboard, above ElevenLabs v3 on blind preference. Available via Gemini API, Google AI Studio, Vertex AI, and Google Vids.
For complex coding, multi-agent orchestration, and style-consistent long-form writing, yes. Anthropic reports Claude Opus 4.7 leads on SWE-bench Verified and Pro, and Sonnet 4.6 leads on instruction-following. For general-purpose chat, agentic tool use via Codex, and lower-hallucination knowledge work, GPT-5.5 now has the edge. Pick based on the task; the best AI workflows use both. Full head-to-head in our Claude vs ChatGPT: Which AI Is Actually Better guide.
Claude Opus 4.7 leads on SWE-bench per Anthropic and supports multi-agent coding with task budgets in public beta via Claude Code. GPT-5.5 scores 88.7% on SWE-bench and is stronger on agentic coding and computer-use tasks inside Codex. For pure multi-file refactors, Claude wins. For agentic and tool-heavy workflows, GPT-5.5 is more versatile.
On accuracy benchmarks, yes: Google reports Gemini 3.1 Pro at 77.1% on ARC-AGI-2, 94.3% on GPQA Diamond, and 80.6% on SWE-bench Verified. It is also cheaper at the API level ($2 / $12 vs $5 / $30 for GPT-5.5). ChatGPT wins on ecosystem and agentic tool use: more integrations, a more mature consumer product, and deeper Codex integration. The Gemini app for Mac is free, with which model you reach depending on Google’s plan and routing. For the full breakdown, read our ChatGPT vs Gemini comparison.
For scientific reasoning and factual accuracy, Gemini 3.1 Pro (94.3% GPQA Diamond, 77.1% ARC-AGI-2). For style-consistent writing and instruction-following, Claude Sonnet 4.6 (1,643 GDPval-AA Elo). For complex coding, Claude Opus 4.7 per Anthropic’s reported SWE-bench lead. Gemini is cheaper ($2 / $12 vs $3 / $15 for Sonnet, $5 / $25 for Opus 4.7). Pick Gemini for research and STEM, Claude Sonnet for writing style, Claude Opus 4.7 for multi-file coding.
Google’s Gemini app for Mac is free, with model access depending on Google’s current plan limits and product routing; Google AI Studio also provides free developer access to Gemini 3.1 Pro and Flash-Lite with usage caps. Claude Sonnet 4.6 is free on claude.ai with daily caps. ChatGPT Free includes GPT-5.4 mini access. Grok is free via X with daily limits. DeepSeek V4 Preview (April 24) is open-source on Hugging Face under Apache 2.0 and offers API access at $0.14 / $0.28 (Flash) and $1.74 / $3.48 (Pro), the cheapest frontier-class pricing available. ChatGPT Images 2.0 standard mode is free for all ChatGPT users.
Claude Opus 4.7 for complex multi-file engineering per Anthropic’s reported SWE-bench lead. GPT-5.5 for agentic coding inside Codex (88.7% SWE-bench). Gemini 3.1 Pro for large codebases (1M context, lower cost at $2 / $12). Claude Sonnet 4.6 for everyday coding (around 79.6% SWE-bench Verified). DeepSeek V4 Pro (April 24) is now the strongest open-weight option at 80%+ SWE-bench and $1.74 / $3.48 per 1M tokens, with Qwen 3.6-Plus a strong second.
GPT-5.5 leads with a 60% drop in hallucinations versus GPT-5.4 per OpenAI, released April 23. Gemini 3.1 Pro scores highest on factual benchmarks (94.3% GPQA Diamond) with live Google Search grounding. Claude Opus 4.7 is at parity with the frontier on graduate-level reasoning per Anthropic. No model is hallucination-free; GPT-5.5, Gemini 3.1 Pro, and Claude Opus 4.7 are currently strongest.
The Sora app shuts down on April 26, 2026, with the API following on September 24, 2026. Veo 3.1 (now with the new Lite tier launched March 31), Kling 3.0, Seedance 2.0, and HappyHorse-1.0 are the strongest alternatives for AI video generation.
Yes. Google released a native Gemini app for Mac on April 15, 2026, for every Gemini user on macOS 15 or later, globally. The app itself is free; which Gemini model you reach depends on Google’s plan limits and routing. Option + Space opens a quick chat. Window sharing lets Gemini see what is on your screen, and the app supports local files. Nano Banana and Veo are built in.
Yes. Fello AI is an app for Mac, iPhone, and iPad that gives you access to ChatGPT, Claude, Gemini, Grok, DeepSeek, Perplexity, and more from a single interface, starting at $9.99/month with a free tier available.
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