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GPT-5.1 Codex Max vs Minimax M 2.5
Comprehensive side-by-side LLM comparison
GPT-5.1 Codex Max leads with 8.9% higher average benchmark score. Overall, GPT-5.1 Codex Max is the stronger choice for coding tasks.
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OpenAI
GPT-5.1 Codex Max, released by OpenAI in November 2025, is an enhanced coding variant from the GPT-5.1 Codex line, designed for more complex software engineering tasks requiring additional reasoning depth. It targets large-scale code generation, automated refactoring, and sophisticated agentic development workflows.
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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 Max
OpenAI
2025-11
Minimax M 2.5
MiniMax
2026-02-13
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5.1 Codex Max
Average Score:48.5%(+8.9%)
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Minimax M 2.5
Average Score:39.6%
Performance comparison across key benchmark categories
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GPT-5.1 Codex Max
Coding48.5%(+8.9%)
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Minimax M 2.5
Coding39.6%
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5.1 Codex Max
0 providers
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Minimax M 2.5
1 providers
MiniMax
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GPT-5.1 Codex Max
Avg Score:48.5%(+8.9%)
Providers:0
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Minimax M 2.5
Avg Score:39.6%
Providers:1