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Codestral 22B vs DeepSeek-V3.2
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-V3.2, released by DeepSeek on December 1, 2025, is a large language model with 685 billion total parameters featuring integrated thinking in tool-use and support for both reasoning and direct generation modes. It features a 128K token context window and introduced large-scale agent training across 1,800+ environments. DeepSeek-V3.2 targets agentic workflows, complex instruction following, and coding tasks under an open MIT license.
1 year newer
Codestral 22B
Mistral AI
2024-05-29
DeepSeek-V3.2
DeepSeek
2025-12-01
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-V3.2
1 providers
DeepSeek
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Codestral 22B
Avg Score:0.0%
Providers:0
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DeepSeek-V3.2
Avg Score:0.0%
Providers:1