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.
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.
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
Context window and performance specifications
Average performance across 1 common benchmarks
GPT-5.2 Codex
Minimax M 2.5
Performance comparison across key benchmark categories
GPT-5.2 Codex
Minimax M 2.5
Available providers and their performance metrics
GPT-5.2 Codex
Minimax M 2.5
MiniMax
GPT-5.2 Codex
Minimax M 2.5
GPT-5.2 Codex
Minimax M 2.5