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DeepSeek-V3.1 vs Devstral Medium
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 54.6% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Devstral Medium. DeepSeek-V3.1 is $1.13 cheaper per million tokens. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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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
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
6 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Devstral Medium
Mistral AI
2025-07-10
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($1.13 cheaper)
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Devstral Medium
Input:$0.40
Output:$2.00
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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DeepSeek-V3.1
Average Score:58.7%(+54.6%)
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Devstral Medium
Average Score:4.1%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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Devstral Medium
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DeepSeek-V3.1
Avg Score:58.7%(+54.6%)
Providers:2
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Devstral Medium
Avg Score:4.1%
Providers:1