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Codestral 22B vs DeepSeek-V3.1
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Codestral is a 22-billion-parameter code-specialized model from Mistral AI, released in May 2024 as the company's first dedicated coding model, trained with focus on fill-in-the-middle (FIM) completion, code generation, and repair across 80+ programming languages. Unlike Mistral's general-purpose Apache 2.0 models, Codestral was released under a separate non-production research license, reflecting its positioning as a professional coding tool requiring commercial API access for production deployment. Its FIM support made it particularly valued for IDE integrations and code completion tools that need to insert code within existing contexts rather than only appending to the end.
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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.
1 year newer
Codestral 22B
Mistral AI
2024-05-29
DeepSeek-V3.1
DeepSeek
2025-08-21
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Codestral 22B
0 providers
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DeepSeek-V3.1
1 providers
DeepSeek
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Codestral 22B
Avg Score:0.0%
Providers:0
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DeepSeek-V3.1
Avg Score:0.0%
Providers:1