Mistral AIMistral Large 3VSZ.ai (Zhipu AI)GLM-5
Our Take
We recommend GLM-5 for complex multi-file code and clearly defined tasks, or the 2.1x cheaper Mistral Large 3 if your workflow is limited to scripting single-file apps or clearly defined functions. While they share very similar reasoning capabilities, GLM-5 handles repository-scale projects whereas Mistral Large 3 excels at basic functions and scripts. Choose GLM-5 for multi-file code and clearly defined tasks, or Mistral Large 3 to save on API costs for simple scripts.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: Mistral Large 3 was evaluated on LiveCodeBench (scoring 34.4%), while GLM-5 was evaluated on SWE-bench Verified (scoring 77.8%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Mistral Large 3 scored 85.5%, while GLM-5 scored 86%.
Cost Efficiency: Mistral Large 3 pricing ($0.5/M input, $1.5/M output) is 2.1x cheaper than GLM-5 ($1/M input, $3.2/M output).
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Benchmarks & Scores
Coding (live-code-bench)
34.4%scripting single-file apps or clearly defined functions
Reasoning (gpqa-diamond)
85.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)2.1x cheaper
$0.75Input: $0.50 | Output: $1.50Context WindowLarger
262.14k tokensBenchmarks & Scores
Coding (swe-bench-verified)
77.8%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)Winner (+0.5%)
86%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.55Input: $1.00 | Output: $3.20Context Window
202.75k tokensFrequently Asked Questions about Mistral Large 3 vs GLM-5
Mistral Large 3 is cheaper than GLM-5. Mistral Large 3 has a blended cost of $0.75/1M tokens, which is about 2.1x cheaper than GLM-5 at $1.55/1M tokens.
For coding tasks, Mistral Large 3 scores 34.4% on live-code-bench (scripting single-file apps or clearly defined functions), while GLM-5 scores 77.8% on swe-bench-verified (multi-file code and clearly defined tasks).
Related Matchups
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