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GPT-5.2 Codex vs Minimax M 2.5
Comprehensive side-by-side LLM comparison
GPT-5.2 Codex leads with 5.4% higher average benchmark score. Overall, GPT-5.2 Codex is the stronger choice for coding tasks.
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OpenAI
GPT-5.2 Codex is a coding-specialized variant from the GPT-5.2 family, designed for software engineering workflows including automated code generation, multi-file editing, and agentic development. It builds on GPT-5.2's improved instruction following and long-context capabilities, with optimizations specifically targeting programming tasks and agentic software 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.
1 month newer
GPT-5.2 Codex
OpenAI
2026-01-14
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-5.2 Codex
Average Score:45.0%(+5.4%)
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Minimax M 2.5
Average Score:39.6%
Performance comparison across key benchmark categories
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GPT-5.2 Codex
Coding45.0%(+5.4%)
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Minimax M 2.5
Coding39.6%
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5.2 Codex
0 providers
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Minimax M 2.5
1 providers
MiniMax
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GPT-5.2 Codex
Avg Score:45.0%(+5.4%)
Providers:0
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Minimax M 2.5
Avg Score:39.6%
Providers:1