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GLM-4.5V vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base offers 59.4K more tokens in context window than GLM-4.5V. Mistral Small 3.1 24B Base is $2.40 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.5V was developed as a vision-language variant, designed to understand and reason about both images and text in Chinese and English. Built to extend Zhipu AI's multilingual capabilities into multimodal applications, it enables visual understanding alongside bilingual language processing.
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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-4.5V
Zhipu AI
2025-08-11
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5V
Input:$0.60
Output:$2.20
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($2.40 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5V
2 providers
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Mistral Small 3.1 24B Base
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Mistral Small 3.1 24B Base
Avg Score:0.0%
Providers:1