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DeepSeek-V3.1 vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 32.5% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $0.87 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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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 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.
2 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
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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DeepSeek-V3.1
Input:$0.27
Output:$1.00
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($0.87 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3.1
Average Score:79.3%(+32.5%)
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Mistral Small 3.1 24B Base
Average Score:46.8%
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 3.1 24B Base
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DeepSeek-V3.1
Avg Score:79.3%(+32.5%)
Providers:2
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Mistral Small 3.1 24B Base
Avg Score:46.8%
Providers:1