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Codestral-22B vs GLM-4.5
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 20.7% higher average benchmark score. GLM-4.5 is available on 3 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
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Mistral AI
Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). Released in 2024, it represents Mistral AI's latest advancement in AI technology.
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Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
1 year newer
Codestral-22B
Mistral AI
2024-05-29
GLM-4.5
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Codestral-22B
Average Score:22.0%
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GLM-4.5
Average Score:42.6%(+20.7%)
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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GLM-4.5
3 providers
DeepInfra
Novita
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Codestral-22B
Avg Score:22.0%
Providers:0
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GLM-4.5
Avg Score:42.6%(+20.7%)
Providers:3