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GLM-4.5 vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 35.1% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $1.60 cheaper per million tokens. Mistral Small 3.1 24B Base 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 was developed by Zhipu AI as an advanced bilingual language model, designed to excel at both Chinese and English language tasks. Built to serve diverse applications across multiple languages, it represents Zhipu AI's commitment to multilingual AI capabilities.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
4 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
GLM-4.5
Zhipu AI
2025-07-28
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5
Input:$0.40
Output:$1.60
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($1.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GLM-4.5
Average Score:81.8%(+35.1%)
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Mistral Small 3.1 24B Base
Average Score:46.8%
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 Base
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GLM-4.5
Avg Score:81.8%(+35.1%)
Providers:3
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Mistral Small 3.1 24B Base
Avg Score:46.8%
Providers:1