タグ: LLMs

The best open source AI models now score within single digits of GPT-5.5 and Claude Opus 4.8 on most benchmarks, and you can download their weights for free. GLM 5.2 posts a 62.1 on SWE-bench Pro, DeepSeek V4 hits 80.6 on SWE-Bench Verified, and Gemma 4 runs on a laptop while scoring 85.2% on MMLU-Pro. The gap between open and closed AI has never been smaller. This guide ranks the open source AI models worth your time in 2026, what each one is genuinely best at, and how to actually run them without a rack of GPUs. We tested the picks against current benchmark data, license terms, and real accessibility, […]

Demis Hassabis is the co-founder and CEO of Google DeepMind, a 2024 Nobel laureate in Chemistry, and the man whose lab built Gemini, the AI model now woven through Google Search, Android, and soon a Gemini-powered Siri. Born in London in 1976, he was a chess master at 13 and a video-game designer in his teens before he set out to, in his words, “solve intelligence, and then use it to solve everything else.” Few people have moved that ambition closer to reality. This bio covers everything you are searching for about him, his net worth, his wife and family, his education, the 2024 Nobel Prize for AlphaFold, his knighthood, […]

Update, June 21, 2026: The first independent benchmarks have landed since launch and now rank GLM 5.2 as the strongest open-weight coding model, and the open weights are available for self-hosting. Scores and analysis are below. GLM 5.2 arrived on June 13, 2026, and it lands with three headline numbers: a 744-billion-parameter Mixture-of-Experts design, a 1-million-token context window, and an MIT license that makes the weights free for anyone to download and run. Chinese AI lab Zhipu AI (operating as Z.ai) shipped it as a coding-first frontier model, and the timing was not subtle. It went public just two days after the US ordered Anthropic to cut foreign access to […]

Moonshot AI released Kimi K2.7 Code on June 12, 2026, and it is one of the largest open-weight coding models you can download right now. It packs 1 trillion total parameters, activates 32 billion of them per token, runs a 256K-token context window, and ships with open weights on Hugging Face under a Modified MIT license. The headline pitch is efficiency, with Moonshot claiming the model uses about 30% fewer reasoning tokens than the previous K2.6 while scoring higher on its coding tests. This is a coding-first, agentic model, built to plan, edit files, run tools, and debug across many steps rather than to chat. That focus matters, because the […]

The city government of Rio de Janeiro just released a frontier-class open AI model. It is built to go head to head with the best open systems on the planet. Rio 3.5 Open 397B comes from IplanRIO, the municipal IT company that runs Rio de Janeiro’s digital services. On its own benchmarks it edges out Alibaba’s Qwen 3.7 Plus on several tests, though the open-weight benchmark crown now belongs to GLM 5.2. That is not a typo. A city hall shipped a 397-billion-parameter model under a fully open license. Here is the honest version of the story. Rio 3.5 Open 397B is not built from scratch. It is fine-tuned from […]

A Chinese AI lab just released a free model that scores 80.8 on SWE-Bench Verified and 75.3 on Terminal-Bench 2.1, putting it in the same league as GPT-5.5 and Claude Opus 4.7 on real coding work. It is called Nex-N2-Pro, it dropped on June 2, 2026, and it costs nothing to download. The model comes from Nex AGI, ships under a permissive Apache 2.0 license, and is built specifically for agentic tasks like writing code, calling tools, and running long, multi-step workflows on its own. This is one of the clearest signs yet that open-source AI has caught up with the frontier on the tasks developers actually care about. In […]

On June 4, 2026, NVIDIA released Nemotron 3 Ultra, a fully open 550 billion parameter reasoning model built specifically for long running agents. According to benchmark platform Artificial Analysis, it is now the most capable open model to come out of a US lab, scoring 48 on the Artificial Analysis Intelligence Index. That puts it well ahead of every other open American model and lands it in what Artificial Analysis calls the most attractive quadrant on its chart, combining high intelligence with fast output speed. Microsoft entered the in-house model race days earlier with its MAI lineup at Build. What makes Nemotron 3 Ultra different is the design goal. NVIDIA […]

On June 2, 2026, at its Build developer conference, Microsoft announced a family of seven in-house AI models under the MAI brand, the most concrete step yet in the company’s plan to stop being just the best distributor of someone else’s frontier models. The lineup spans reasoning, coding, image generation, voice, and transcription, and it was unveiled during CEO Satya Nadella’s keynote alongside new agents, silicon, and a repositioning of Windows itself. The centerpiece is MAI-Thinking-1, Microsoft’s first reasoning model. It is a 35 billion active parameter Mixture of Experts model that Microsoft says matches Claude Opus 4.6 on SWE-Bench Pro and narrowly beat Claude Sonnet 4.6 in blind human […]

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. The architecture story we covered before launch held up. M3 is built on the new MiniMax Sparse Attention (MSA) design, the same sparse attention the company had killed in its M2 generation and brought back for M3. You can use it […]

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.