MiniMax M2.7 vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | MiniMax M2.7 | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | MiniMax | Alibaba |
| Release Date | March 18, 2026 | July 24, 2025 |
| Parameters | — | 235B |
| Multimodal | No | No |
| Context (input) | 205K | 256K |
| Context (output) | 100K | 131K |
| Input Price / 1M | $0.30 | $0.30 |
| Output Price / 1M | $1.20 | $3.00 |
| Average Score | 0.0 | 0.9 |
Verdict
MiniMax M2.7 leads in 2 out of 3 comparison categories.
API Cost
MiniMax M2.7 is 2.2x cheaper: input $0.30/1M vs $0.30/1M tokens.
Context Window
Qwen3-235B-A22B-Thinking-2507 supports a larger context: 256K vs 205K tokens.
Recency
MiniMax M2.7 is newer: released 3/18/2026 vs 7/24/2025.
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The MiniMax M2.7 and Qwen3-235B-A22B-Thinking-2507 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the MiniMax M2.7 or Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.