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Devstral-2-123B vs MiniMax M2.1
Comprehensive side-by-side LLM comparison
Devstral-2-123B offers 63.5K more tokens in context window than MiniMax M2.1. MiniMax M2.1 is $2.70 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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.
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MiniMax
MiniMax M2.1, released by MiniMax on December 23, 2025, is a large language model with approximately 230 billion parameters featuring strong multi-language programming capabilities and an industry-leading multilingual coding profile. It features a 196K token context window and is optimized for complex real-world software engineering tasks across Rust, Java, Golang, C++, TypeScript, and other languages. M2.1 targets agentic coding workflows and applications requiring production-grade programming across diverse language environments.
14 days newer
Devstral-2-123B
Mistral AI
2025-12-09
MiniMax M2.1
MiniMax
2025-12-23
Pricing Comparison
Cost per million tokens (USD)
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Devstral-2-123B
Input:$1.00
Output:$3.00
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MiniMax M2.1
Input:$0.20
Output:$1.10($2.70 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Devstral-2-123B
1 providers
OpenRouter
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MiniMax M2.1
1 providers
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Devstral-2-123B
Avg Score:0.0%
Providers:1
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MiniMax M2.1
Avg Score:0.0%
Providers:1