Running in Mistral Vibe, Mistral Large 4 (high) ranks second of the current open weights models on the Artificial Analysis Coding Agent Index (48), between GLM-5.3 (max) in Opencode (49) and DeepSeek V4.1 Flash 1017 (max) in DeepSeek Harness (46), while using about half as many total tokens per task (8.5M vs. 15.9M and 16.7M)
Mistral Large 4 ranks second among open-weights models on coding agent index
AIRunning in Mistral Vibe, Mistral Large 4 (high) scores 48 on the Artificial Analysis Coding Agent Index, placing second among current open-weights models. It uses about 8.5M total tokens per task, roughly half the 15.9M and 16.7M used by GLM-5.3 (max) in Opencode and DeepSeek V4.1 Flash 1017 (max) in DeepSeek Harness.
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Artificial Analysis · x.comPublished
Original title: Running in Mistral Vibe, Mistral Large 4 (high) ranks second of the current open weights models on the Artificial Analysis Coding Agent I...