タグ: LLMs

On June 1, 2026, MiniMax officially released M3, the Shanghai lab’s next flagship language model, and it shipped exactly as promised. The model that spent weeks as an architecture teaser is now live, and the pitch turned out to be real: frontier-level coding, a 1-million-token context window, and native multimodality, all in one open-weight model. MiniMax calls it the first and only open-weight model to bring all three together. Open weights sit at the heart of open source AI, the category of models you can download and run yourself instead of renting access through a closed API. The architecture story we covered before launch held up. M3 is built on […]

Claude Opus 4.8 takes the #1 spot on the Artificial Analysis Intelligence Index at 61.4, beating GPT-5.5. Full benchmarks, pricing, and what’s new.

Baidu released ERNIE 5.1 on May 8, 2026, hitting #4 on LMArena Search using only 6% of normal pre-training cost. We cover benchmarks, architecture, agentic performance, and how it compares to DeepSeek V4 Pro, Claude Opus 4.6, and Gemini 3.1 Pro.

On May 5, 2026, Subquadratic launched SubQ, the first frontier LLM built on a fully subquadratic sparse-attention architecture, with a 12 million token context window and bold cost claims.

DeepSeek released V4-Pro and V4-Flash on April 24, 2026, open-source MoE models with 1M context, new CSA/HCA hybrid attention, and benchmarks rivaling GPT-5.4 and Claude Opus 4.6. Full breakdown of architecture, benchmarks, pricing, and comparisons.

Update, July 10, 2026: GPT-5.5 has since been succeeded by GPT-5.6, which reached general availability on July 9, 2026 with the Sol, Terra, and Luna tiers and is now OpenAI’s frontier model. This guide remains the deep reference on GPT-5.5, which stays available as the fast Instant default across ChatGPT tiers. On April 23, 2026, OpenAI introduced GPT-5.5, its most capable model at launch and the first fully retrained base model since GPT-4.5. The release brings state-of-the-art scores on Terminal-Bench 2.0, OSWorld, and GDPval, a much stronger agentic coding profile in Codex, a new Pro tier, and a pricing step up that reflects the jump in intelligence. GPT-5.5 is rolling […]

A nameless AI model called Hunter Alpha appeared on OpenRouter, topped the leaderboards, and fooled thousands into thinking it was DeepSeek V4. It turned out to be Xiaomi’s MiMo-V2-Pro, a trillion-parameter model rivaling GPT-5.2 at a fraction of the cost.

The agent loop, memory, planning, tool use, MCP, multi-agent systems, and security — explained clearly with diagrams. Everything you need to understand how AI agents work in 2026.

MiniMax M2.5 scores 80.2% on SWE-Bench Verified, runs at 100 tokens/sec, and costs $1/hour. Here’s what we know — and what’s still unverified.

On February 5, 2026, Anthropic released Claude Opus 4.6 — the latest and most capable model in its Claude lineup. Arriving just three months after Opus 4.5, this release brings a 1-million-token context window to the Opus family for the first time, introduces collaborative agent teams in Claude Code, and delivers benchmark results that put it ahead of GPT-5.2 and Gemini 3 Pro across most evaluations. Months later it remains a yardstick for new contenders; ByteDance’s Seed 2.1 Pro drew level with Opus 4.6 on Code Arena: Frontend, both scoring 1539. But the headline number that caught the industry’s attention wasn’t a benchmark score. It was 500 — the number […]