GPT-5 High vs MiniMax M2.1: Specs & Benchmark Comparison
| Characteristic | GPT-5 High | MiniMax M2.1 |
|---|---|---|
| Company | OpenAI | MiniMax |
| Release Date | August 6, 2025 | December 22, 2025 |
| Parameters | — | — |
| Multimodal | Yes | No |
| Context (input) | 400K | 1.0M |
| Context (output) | 128K | 100K |
| Input Price / 1M | $2.00 | $0.30 |
| Output Price / 1M | $8.00 | $1.20 |
| Average Score | 0.9 | 0.9 |
| Benchmarks | ||
| GPQA | 0.9 | 0.8 |
Visual Benchmark Comparison
GPT-5 High
MiniMax M2.1
GPQA0.9 vs 0.8
0.9
0.8
Verdict
MiniMax M2.1 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GPT-5 High — 0.9, MiniMax M2.1 — 0.9.
API Cost
MiniMax M2.1 is 6.7x cheaper: input $0.30/1M vs $2.00/1M tokens.
Context Window
MiniMax M2.1 supports a larger context: 1M vs 400K tokens.
Recency
MiniMax M2.1 is newer: released 12/22/2025 vs 8/6/2025.
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The GPT-5 High 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 High or MiniMax M2.1 page. See also the complete list of AI model comparisons.