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DeepSeek-V3.1 vs Devstral-2-123B
Comprehensive side-by-side LLM comparison
Devstral-2-123B offers 128.2K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $2.63 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex reasoning under an open MIT license.
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Mistral AI
Devstral 2, released by Mistral AI on December 9, 2025, is a 123 billion parameter dense transformer model specifically designed for software engineering tasks. It features a 256K token context window and achieved 72.2% on SWE-bench Verified at release, making it a competitive open-weight option for automated coding and agentic development. Devstral 2 targets code generation, multi-file software engineering, and agentic development workflows under a modified MIT license.
3 months newer
DeepSeek-V3.1
DeepSeek
2025-08-21
Devstral-2-123B
Mistral AI
2025-12-09
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.10($2.63 cheaper)
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Devstral-2-123B
Input:$1.00
Output:$3.00
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
1 providers
DeepSeek
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Devstral-2-123B
1 providers
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DeepSeek-V3.1
Avg Score:0.0%
Providers:1
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Devstral-2-123B
Avg Score:0.0%
Providers:1