GPT-5.2-Codex vs MiniMax M2
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-5.2-Codex and MiniMax M2.
GPT-5.2-Codex
GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
Technical Specifications
| Specification | GPT-5.2-Codex | MiniMax M2 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Context Window | 400,000 tokens | 204,800 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-01-14 | 2025-10-23 |
API Pricing Comparison
Input Price per Million Tokens
GPT-5.2-Codex
$1.75
MiniMax M2
$0.26
Output Price per Million Tokens
GPT-5.2-Codex
$14.00
MiniMax M2
$1.02
Want to test both models live?
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
GPT-5.2-Codex Quirks & Gotchas
No developer gotchas reported.
MiniMax M2 Quirks & Gotchas
No developer gotchas reported.