In late May 2026, MiniMax’s Head of Engineering, Skyler Miao, broke cover with the first technical preview of MiniMax M3, the Shanghai lab’s next flagship language model. The pitch is sharp: 9.7× faster prefill and 15.6× faster decoding at 1-million-token context versus the current MiniMax-M2.7. The trick is reintroducing sparse attention, an architecture MiniMax explicitly […]
Kimi K2.6 is the new open-source AI model from China’s Moonshot AI, released on April 20, 2026. It just tied GPT-5.5 on the toughest coding benchmark in the industry, at roughly 80% less per million tokens. With 1 trillion total parameters, 32 billion active per token, and a 256K-token context window, K2.6 is now the […]
The five open-source AI models worth running on an M5 Mac in April 2026 are Mistral 7B (16 GB), Qwen 3.5 9B (24 GB), DeepSeek R1 Distill Qwen 14B (24 GB), Gemma 4 26B-A4B (32 GB), and Qwen 3.5 35B-A3B (32 GB+). Minimum unified memory is 16 GB, the sweet spot is 24 GB, and […]
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.
Le 6 novembre 2025, Moonshot AI, soutenu par Alibaba, a publié Kimi K2 Thinking, son modèle open-source le plus avancé à ce jour. Il s'agit de la première variante axée sur le raisonnement de la famille Kimi K2, qui marque une avancée majeure dans le domaine du raisonnement en contexte long et en plusieurs étapes, ainsi que dans l'utilisation autonome d'outils. Kimi K2 Thinking a immédiatement fait les gros titres pour ses performances : il a atteint de nouveaux scores sur plusieurs benchmarks ouverts, dont Humanity's Last [...]
Moonshot AI, Chinese startup backed by Alibaba and Tencent, is rolling out an upgraded version of its open‑weight open-source large language model, Kimi K2. The new build Kimi K2‑0905, introduces a 256,000-token context window, improved coding performance, and retains its permissive modified MIT license. Although early beta access was briefly mentioned on the company’s Discord […]
OpenAI just dropped its first open-weight models since GPT-2 — a big move that shifts its usual strategy. Announced on August 5, the new models, called gpt-oss, are fully open-source under the Apache 2.0 license. That means anyone can download them, tweak them, and run them locally without any restrictions. This release comes as open-source AI […]
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