Mistral researcher @Sagar_Vaze reveals how Mistral Large 4 matches GLM 5.3 on a coding…
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Mistral researcher @Sagar_Vaze reveals how Mistral Large 4 matches GLM 5.3 on a coding benchmark while using 50% fewer output tokens: "It's our first flagship OSS release in a while. It's a trillion parameter model trained on 1E25 FLOPs." "This FLOP budget and parameter scale is a key milestone in any AI lab's development. We had to build out our own data centers. This model was trained from scratch on our own compute, which we built just outside of Paris." "It's by far the best agentic coding model we've released, both in our internal testing and with third party evals. On the AA coding in
Posted by MTS (574.3k followers) 7 days ago · 86 likes · 9.1k views · view the original post on X. Kept by the Vibe Coding Radar as Coding agents.
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