MiniMax M2 vs MiniMax M2.1: Specs & Benchmark Comparison
| Characteristic | MiniMax M2 | MiniMax M2.1 |
|---|---|---|
| Company | MiniMax | MiniMax |
| Release Date | October 26, 2025 | December 22, 2025 |
| Parameters | 230B | — |
| Multimodal | No | No |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 100K | 100K |
| Input Price / 1M | $1.00 | $0.30 |
| Output Price / 1M | $4.00 | $1.20 |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| MMLU-Pro | 0.8 | 0.9 |
| GPQA | 0.8 | 0.8 |
Visual Benchmark Comparison
MiniMax M2
MiniMax M2.1
MMLU-Pro0.8 vs 0.9
0.8
0.9
GPQA0.8 vs 0.8
0.8
0.8
Verdict
MiniMax M2.1 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: MiniMax M2 — 0.8, MiniMax M2.1 — 0.9.
API Cost
MiniMax M2.1 is 3.3x cheaper: input $0.30/1M vs $1.00/1M tokens.
Context Window
Same context size: 1M tokens.
Recency
MiniMax M2.1 is newer: released 12/22/2025 vs 10/26/2025.
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Frequently Asked Questions
Which is better for coding — MiniMax M2 or MiniMax M2.1?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — MiniMax M2 or MiniMax M2.1?
MiniMax M2.1 is cheaper for input: $0.30 per 1M tokens vs $1.00.
Which has a larger context window — MiniMax M2 or MiniMax M2.1?
MiniMax M2 supports a larger context: 1,000,000 tokens vs 1,000,000.
The MiniMax M2 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 MiniMax M2 or MiniMax M2.1 page. See also the complete list of AI model comparisons.