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GPT-5.1 Codex vs Minimax M 2.5
Comprehensive side-by-side LLM comparison
Minimax M 2.5 leads with 1.6% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5.1 Codex, released by OpenAI in November 2025, is a coding-specialized model from the GPT-5.1 family engineered for software engineering tasks including code generation, multi-file editing, and agentic development. It targets developers and automated coding pipelines requiring a GPT-5.1-generation model tuned for programming.
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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.
3 months newer
GPT-5.1 Codex
OpenAI
2025-11
Minimax M 2.5
MiniMax
2026-02-13
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-5.1 Codex
Average Score:58.3%
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Minimax M 2.5
Average Score:59.9%(+1.6%)
Performance comparison across key benchmark categories
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GPT-5.1 Codex
Coding58.3%
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Minimax M 2.5
Coding59.9%(+1.6%)
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5.1 Codex
0 providers
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Minimax M 2.5
1 providers
MiniMax
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GPT-5.1 Codex
Avg Score:58.3%
Providers:0
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Minimax M 2.5
Avg Score:59.9%(+1.6%)
Providers:1