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DeepSeek-V3.1 vs Mistral Small
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 offers 262.1K more tokens in context window than Mistral Small. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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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.
3 months newer
Mistral Small
Mistral AI
2024-09-17
DeepSeek-V3.1
DeepSeek
2025-01-10
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00
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Mistral Small
Input:$0.20
Output:$0.60($0.47 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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Mistral Small
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DeepSeek-V3.1
Avg Score:0.0%
Providers:2
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Mistral Small
Avg Score:0.0%
Providers:1