Mistral has released the weights for Large 4, along with some impressive Artificial Analysis scores.
French AI lab Mistral shipped its latest model, Mistral Large 4 (ML4), nicknamed “Le Chonk” for its trillion-parameter size, in preview on Oct. 6. As promised, the lab has released the model’s weights, alongside some new benchmark scores that show Western open models gaining ground over their Chinese peers.
After three weeks of testing with a select group of partners, Mistral’s model sets a new standard for Western-made open models, ranking at the top of Artificial Analysis’ Coding Agent Index among open models globally. The model also comes with three reasoning modes now (low, medium, and high), as is common for heftier models to give users more options based on their level of task complexity.
ML4’s score on the agentic coding benchmark Terminal-Bench 4.0 jumped to 41% from its preview version’s 28% to 41%, beating Opencode’s GLM-5.3 by one small but important point. On the overall Index, however, which shows a model’s composite score across three relevant benchmarks, ML4 is a point behind GLM-5.3, scoring a 48 to GLM-5.3’s 49. Codex GPT-6.1 Terra also scores a 48 overall.
As a reminder, benchmark scores themselves should be taken with a grain of salt, especially considering how many models cheat.
Still, that improvement in performance is meaningful for just a few weeks of extra training. As proprietary AI remains expensive to use, economical models that don’t sacrifice performance are eye-catching. 3 on the Artificial Analysis Coding Agent Index while using 47% less tokens per task on average,” Mistral said.
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