LongCat-Flash-Thinking vs MiniMax M2.1: Specs & Benchmark Comparison
| Characteristic | LongCat-Flash-Thinking | MiniMax M2.1 |
|---|---|---|
| Company | Meituan | MiniMax |
| Release Date | September 21, 2025 | December 22, 2025 |
| Parameters | 560B | — |
| Multimodal | No | No |
| Context (input) | — | 1.0M |
| Context (output) | — | 100K |
| Input Price / 1M | — | $0.30 |
| Output Price / 1M | — | $1.20 |
| Average Score | 0.9 | 0.9 |
| Benchmarks | ||
| MMLU-Pro | 0.8 | 0.9 |
| GPQA | 0.8 | 0.8 |
Visual Benchmark Comparison
LongCat-Flash-Thinking
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 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: LongCat-Flash-Thinking — 0.9, MiniMax M2.1 — 0.9.
Recency
MiniMax M2.1 is newer: released 12/22/2025 vs 9/21/2025.
More About These Models
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The LongCat-Flash-Thinking 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 LongCat-Flash-Thinking or MiniMax M2.1 page. See also the complete list of AI model comparisons.