Mistral AIMistral Large 3VSZ.ai (Zhipu AI)GLM-4.6
Our Take
We recommend GLM-4.6 for practical local execution on standard developer hardware, or Mistral Large 3 if you need peak reasoning and have the VRAM (or a cloud API) to host it. While Mistral Large 3 offers frontier capability, its massive parameter size makes it extremely difficult to host locally. Choose GLM-4.6 for standard local setups, or Mistral Large 3 for peak reasoning.
▶WHY?
Benchmark Calculations & Evidence:
Model Size: Mistral Large 3 is a massive 675B parameter model requiring heavy GPU infrastructure, while GLM-4.6 is a 357B parameter model.
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Benchmarks & Scores
Coding (live-code-bench)
34.4%scripting single-file apps or clearly defined functions
Reasoning (gpqa-diamond)Winner (+2.6%)
85.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.3x cheaper
$0.75Input: $0.50 | Output: $1.50Context WindowLarger
262.14k tokensFrequently Asked Questions about Mistral Large 3 vs GLM-4.6
Mistral Large 3 is cheaper than GLM-4.6. Mistral Large 3 has a blended cost of $0.75/1M tokens, which is about 1.3x cheaper than GLM-4.6 at $1.00/1M tokens.
For coding tasks, Mistral Large 3 scores 34.4% on live-code-bench (scripting single-file apps or clearly defined functions), while GLM-4.6 scores 68% on swe-bench-verified (multi-file code and clearly defined tasks).
Related Matchups
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