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DeepSeek-V3.2-Exp vs Devstral Medium
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 62.0% higher average benchmark score. Devstral Medium offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $1.72 cheaper per million tokens. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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.
2 months newer
Devstral Medium
Mistral AI
2025-07-10
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41($1.72 cheaper)
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Devstral Medium
Input:$0.40
Output:$2.00
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:66.7%(+62.0%)
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Devstral Medium
Average Score:4.7%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Devstral Medium
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DeepSeek-V3.2-Exp
Avg Score:66.7%(+62.0%)
Providers:2
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Devstral Medium
Avg Score:4.7%
Providers:1