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Mistral AIMinistral 3 14BVSZ.ai (Zhipu AI)GLM-4.5

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

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-4.5 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Model Specs

Ministral 3 14B

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)
N/A

graduate-level science QA

Cost & Context

Cost (per 1M tokens)5.0x cheaper
$0.20Input: $0.20 | Output: $0.20
Context WindowLarger
262.14k tokens
Model Specs

GLM-4.5

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-verified)
64.2%

multi-file code and clearly defined tasks

Reasoning (gpqa-diamond)
79.9%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$1.00Input: $0.60 | Output: $2.20
Context Window
131.07k tokens

Frequently Asked Questions about Ministral 3 14B vs GLM-4.5

Ministral 3 14B is cheaper than GLM-4.5. Ministral 3 14B has a blended cost of $0.20/1M tokens, which is about 5.0x cheaper than GLM-4.5 at $1.00/1M tokens.

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