Mistral AIMinistral 3 14BVSZ.ai (Zhipu AI)GLM-5.1
Our Take
Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Ministral 3 14B and GLM-5.1 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Benchmarks & Scores
Coding (swe-bench-pro)
N/Acomplex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
N/Agraduate-level science QA
Cost & Context
Cost (per 1M tokens)10.7x cheaper
$0.20Input: $0.20 | Output: $0.20Context WindowLarger
262.14k tokensBenchmarks & Scores
Coding (swe-bench-pro)
58.4%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
86.2%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40Context Window
202.75k tokensFrequently Asked Questions about Ministral 3 14B vs GLM-5.1
Ministral 3 14B is cheaper than GLM-5.1. Ministral 3 14B has a blended cost of $0.20/1M tokens, which is about 10.7x cheaper than GLM-5.1 at $2.15/1M tokens.
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