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DeepSeek-V3 vs Mistral Small
Comprehensive side-by-side LLM comparison
DeepSeek-V3 offers 196.6K more tokens in context window than Mistral Small. Mistral Small is $0.57 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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Mistral Small
Input:$0.20
Output:$0.60($0.57 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Mistral Small
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DeepSeek-V3
Avg Score:0.0%
Providers:1
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Mistral Small
Avg Score:0.0%
Providers:1