Mistral AICodestral 22BVSZ.ai (Zhipu AI)GLM-5.2
Our Take
Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Codestral 22B and GLM-5.2 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Benchmarks & Scores
Coding (human-eval)
81.1%basic standalone code completion and simple functions
Reasoning (gpqa-diamond)
N/Agraduate-level science QA
Cost & Context
Cost (per 1M tokens)4.8x cheaper
$0.45Input: $0.30 | Output: $0.90Context Window
32.77k tokensBenchmarks & Scores
Coding (swe-bench-pro)
62.1%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
91.2%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40Context WindowLarger
1.05M tokensFrequently Asked Questions about Codestral 22B vs GLM-5.2
Codestral 22B is cheaper than GLM-5.2. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 4.8x cheaper than GLM-5.2 at $2.15/1M tokens.
For coding tasks, Codestral 22B scores 81.1% on human-eval (basic standalone code completion and simple functions), while GLM-5.2 scores 62.1% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).
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