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Devstral-2-123B vs Minimax M 2.5
Comprehensive side-by-side LLM comparison
Minimax M 2.5 leads with 2.1% higher average benchmark score. Devstral-2-123B offers 60.1K more tokens in context window than Minimax M 2.5. Minimax M 2.5 is $2.50 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 M2.5 is a large language model from MiniMax extensively trained with reinforcement learning across hundreds of thousands of complex real-world environments. It targets agentic tool use, coding automation, and office productivity tasks, with strong results on software engineering and web browsing benchmarks. M2.5 represents the next generation of MiniMax's M-series models optimized for production agentic workloads.
2 months newer
Devstral-2-123B
Mistral AI
2025-12-09
Minimax M 2.5
MiniMax
2026-02-13
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 M 2.5
Input:$0.30
Output:$1.20($2.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Devstral-2-123B
Average Score:37.5%
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Minimax M 2.5
Average Score:39.6%(+2.1%)
Performance comparison across key benchmark categories
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Devstral-2-123B
Coding37.5%
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Minimax M 2.5
Coding39.6%(+2.1%)
Provider Availability & Performance
Available providers and their performance metrics
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Devstral-2-123B
1 providers
OpenRouter
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Minimax M 2.5
1 providers
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Devstral-2-123B
Avg Score:37.5%
Providers:1
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Minimax M 2.5
Avg Score:39.6%(+2.1%)
Providers:1