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GLM-4.5-Air vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
GLM-4.5-Air leads with 31.6% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, GLM-4.5-Air is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.5-Air is a language model developed by Zhipu AI. It achieves strong performance with an average score of 60.8% across 14 benchmarks. It excels particularly in MATH-500 (98.1%), AIME 2024 (89.4%), MMLU-Pro (81.4%). 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 Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 Base
Mistral AI
2025-03-17
GLM-4.5-Air
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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GLM-4.5-Air
Average Score:50.1%(+31.6%)
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Mistral Small 3.1 24B Base
Average Score:18.5%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5-Air
0 providers
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
Throughput:
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GLM-4.5-Air
Avg Score:50.1%(+31.6%)
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:18.5%
Providers:1