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GLM-4.5 vs Mistral Small 3.1 24B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 15.2% higher average benchmark score. Mistral Small 3.1 24B Instruct supports multimodal inputs. GLM-4.5 is available on 3 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
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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.
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Mistral AI
Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
4 months newer
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
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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GLM-4.5
Average Score:42.6%(+15.2%)
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Mistral Small 3.1 24B Instruct
Average Score:27.4%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Mistral Small 3.1 24B Instruct
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GLM-4.5
Avg Score:42.6%(+15.2%)
Providers:3
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Mistral Small 3.1 24B Instruct
Avg Score:27.4%
Providers:0