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DeepSeek-V3.1 vs Mistral Small 3 24B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 23.5% higher average benchmark score. DeepSeek-V3.1 offers 263.7K more tokens in context window than Mistral Small 3 24B Instruct. Mistral Small 3 24B Instruct is $1.06 cheaper per million tokens. 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 24B Instruct was created as the instruction-tuned version of the 24B base model, designed to follow user instructions reliably. Built to serve general-purpose applications requiring moderate capability, it balances performance with deployment practicality.
20 days newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
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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 24B Instruct
Input:$0.07
Output:$0.14($1.06 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%(+23.5%)
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Mistral Small 3 24B Instruct
Average Score:55.8%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
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 24B Instruct
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DeepSeek-V3.1
Avg Score:79.3%(+23.5%)
Providers:2
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Mistral Small 3 24B Instruct
Avg Score:55.8%
Providers:2