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Mistral Small vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base offers 190.5K more tokens in context window than Mistral Small. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Small was created as an efficient model offering, designed to provide capable language understanding with reduced computational requirements. Built to serve cost-sensitive applications while maintaining quality, it enables Mistral's technology in scenarios where resource efficiency is valued.
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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.
6 months newer
Mistral Small
Mistral AI
2024-09-17
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Pricing Comparison
Cost per million tokens (USD)
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Mistral Small
Input:$0.20
Output:$0.60
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($0.40 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Mistral Small 3.1 24B Base
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Mistral Small
Avg Score:0.0%
Providers:1
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Mistral Small 3.1 24B Base
Avg Score:0.0%
Providers:1