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BREAKING: Grok 4.7 beats GPT-6 Astra in both real-world work benchmarks: • Professional knowledge work: 1,695 vs 1,542 • Multi-hour office work: 1,657 vs 1,569 Grok 4.7 is the clear winner across both. 🔥 https://t.co/2do2x53THs

GROK 4.7 IS ACTUALLY COMPETING WITH GPT-6 ASTRA. I gave GPT-6 Astra, Grok 4.7, Kimi K3 and Fable 5.1 the same prompt to build a flight simulator Astra was still #1 overall, but Grok 4.7 was surprisingly close Kimi K3 and Fable 5.1 were basically a draw and both produced a much smoother result, while Grok 4.7 was right up there with Astra in terms of overall quality. overall: Astra > Grok ≈ Kimi ≈ Fable GPT-6 Astra finally has some serious competition.

Grok 4.7 is here. It's a notable improvement over Grok 4.6 at the same price and speed. https://t.co/H3OTBbXyvO

releasing many high quality open-source RL environments is the most impactful thing anyone can do to push the open-source frontier right now the equivalent of sharing high quality pretraining data but in the new RLVR paradigm https://t.co/Sg2mYfwswI

MiMo-V2.6-Pro debuts as the top open weights model on the Artificial Analysis Intelligence Index (46). At $0.13 per Intelligence Index task, it lands on the Intelligence vs. Cost per Task Pareto frontier @Xiaomi has just released MiMo-V2.6-Pro, an open weights model with major advances in intelligence over its predecessor, MiMo-V2.5-Pro (Intelligence Index: 26). Despite the improvement, it retains the same attractive pricing at $0.435 per 1M input tokens (with a 99% cache-hit discount) and $0.87 per 1M output tokens. This makes MiMo-V2.6-Pro one of the most cost-efficient models to deploy. MiMo-V2.6-Pro is an MoE model with 1.02T total parameters and 42B active parameters. Stay tuned for additional analysis of the model. Check out MiMo-V2.6-Pro full benchmarking breakdown here: https://t.co/czBJhQKuWJ

We’re working with an independent advisory group of mathematicians to help OpenAI responsibly share advances in AI and mathematics. The group will advise on how we assess and communicate new mathematical results, uphold academic and professional standards, and build tools that support mathematical research and learning. Through this work, we want mathematicians to be at the center of shaping how AI supports mathematical understanding and how its benefits reach the wider community. https://t.co/QCMFLFlIv8