Mistral AICodestral 22BVSZ.ai (Zhipu AI)GLM-4.6
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-4.6 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)2.2x cheaper
$0.45Input: $0.30 | Output: $0.90Context Window
32.77k tokensBenchmarks & Scores
Coding (swe-bench-verified)
68%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
82.9%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.00Input: $0.60 | Output: $2.20Context WindowLarger
202.75k tokensFrequently Asked Questions about Codestral 22B vs GLM-4.6
Codestral 22B is cheaper than GLM-4.6. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 2.2x cheaper than GLM-4.6 at $1.00/1M tokens.
For coding tasks, Codestral 22B scores 81.1% on human-eval (basic standalone code completion and simple functions), while GLM-4.6 scores 68% on swe-bench-verified (multi-file code and clearly defined tasks).
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