GPT-5.2 Codex vs MiniMax M2.5: Specs & Benchmark Comparison
| Characteristic | GPT-5.2 Codex | MiniMax M2.5 |
|---|---|---|
| Company | OpenAI | MiniMax |
| Release Date | January 13, 2026 | February 11, 2026 |
| Parameters | — | 230B |
| Multimodal | Yes | Yes |
| Context (input) | 400K | — |
| Context (output) | 128K | — |
| Input Price / 1M | $1.75 | — |
| Output Price / 1M | $14.00 | — |
| Average Score | 0.6 | 0.7 |
| Benchmarks | ||
| SWE-Bench Pro | 0.6 | 0.6 |
Visual Benchmark Comparison
GPT-5.2 Codex
MiniMax M2.5
SWE-Bench Pro0.6 vs 0.6
0.6
0.6
Verdict
MiniMax M2.5 leads in 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: GPT-5.2 Codex — 0.6, MiniMax M2.5 — 0.7.
Recency
MiniMax M2.5 is newer: released 2/11/2026 vs 1/13/2026.
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Related Comparisons
The GPT-5.2 Codex and MiniMax M2.5 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GPT-5.2 Codex or MiniMax M2.5 page. See also the complete list of AI model comparisons.