GPT-5.3 Codex vs MiniMax M2.7: Specs & Benchmark Comparison
| Characteristic | GPT-5.3 Codex | MiniMax M2.7 |
|---|---|---|
| Company | OpenAI | MiniMax |
| Release Date | February 5, 2026 | March 18, 2026 |
| Parameters | — | — |
| Multimodal | Yes | No |
| Context (input) | 400K | 205K |
| Context (output) | 128K | 100K |
| Input Price / 1M | $1.75 | $0.30 |
| Output Price / 1M | $14.00 | $1.20 |
| Average Score | 0.7 | 0.0 |
Verdict
MiniMax M2.7 leads in 2 out of 3 comparison categories.
API Cost
MiniMax M2.7 is 10.5x cheaper: input $0.30/1M vs $1.75/1M tokens.
Context Window
GPT-5.3 Codex supports a larger context: 400K vs 205K tokens.
Recency
MiniMax M2.7 is newer: released 3/18/2026 vs 2/5/2026.
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The GPT-5.3 Codex and MiniMax M2.7 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GPT-5.3 Codex or MiniMax M2.7 page. See also the complete list of AI model comparisons.