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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 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Mistral AI
Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
3 months newer
Mistral Small
Mistral AI
2024-09-17
DeepSeek-V3.1
DeepSeek
2025-01-10
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
Average performance across 16 common benchmarks
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DeepSeek-V3.1
Average Score:58.4%(+58.4%)
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Mistral Small
Average Score:0.0%
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:58.4%(+58.4%)
Providers:2
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Mistral Small
Avg Score:0.0%
Providers:1