MiniMax M2.1 vs Mistral Large 2: Specs & Benchmark Comparison
| Characteristic | MiniMax M2.1 | Mistral Large 2 |
|---|---|---|
| Company | MiniMax | Mistral AI |
| Release Date | December 22, 2025 | July 24, 2024 |
| Parameters | — | 123B |
| Multimodal | No | No |
| Context (input) | 1.0M | 128K |
| Context (output) | 100K | 128K |
| Input Price / 1M | $0.30 | $2.00 |
| Output Price / 1M | $1.20 | $6.00 |
| Average Score | 0.9 | 0.9 |
Verdict
MiniMax M2.1 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: MiniMax M2.1 — 0.9, Mistral Large 2 — 0.9.
API Cost
MiniMax M2.1 is 5.3x cheaper: input $0.30/1M vs $2.00/1M tokens.
Context Window
MiniMax M2.1 supports a larger context: 1M vs 128K tokens.
Recency
MiniMax M2.1 is newer: released 12/22/2025 vs 7/24/2024.
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The MiniMax M2.1 and Mistral Large 2 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the MiniMax M2.1 or Mistral Large 2 page. See also the complete list of AI model comparisons.