GPT-5.3 Codex vs MiniMax M2.1: Specs & Benchmark Comparison
| Characteristic | GPT-5.3 Codex | MiniMax M2.1 |
|---|---|---|
| Company | OpenAI | MiniMax |
| Release Date | February 5, 2026 | December 22, 2025 |
| Parameters | — | — |
| Multimodal | Yes | No |
| Context (input) | 400K | 1.0M |
| Context (output) | 128K | 100K |
| Input Price / 1M | $1.75 | $0.30 |
| Output Price / 1M | $14.00 | $1.20 |
| Average Score | 0.7 | 0.9 |
Verdict
MiniMax M2.1 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GPT-5.3 Codex — 0.7, MiniMax M2.1 — 0.9.
API Cost
MiniMax M2.1 is 10.5x cheaper: input $0.30/1M vs $1.75/1M tokens.
Context Window
MiniMax M2.1 supports a larger context: 1M vs 400K tokens.
Recency
GPT-5.3 Codex is newer: released 2/5/2026 vs 12/22/2025.
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The GPT-5.3 Codex and MiniMax M2.1 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 M2.1 page. See also the complete list of AI model comparisons.