MiniMax M2.7 vs Qwen3 235B A22B: Specs & Benchmark Comparison
| Characteristic | MiniMax M2.7 | Qwen3 235B A22B |
|---|---|---|
| Company | MiniMax | Alibaba |
| Release Date | March 18, 2026 | April 28, 2025 |
| Parameters | — | 235B |
| Multimodal | No | No |
| Context (input) | 205K | 128K |
| Context (output) | 100K | 128K |
| Input Price / 1M | $0.30 | $0.20 |
| Output Price / 1M | $1.20 | $0.60 |
| Average Score | 0.0 | 0.9 |
Verdict
MiniMax M2.7 leads in 2 out of 3 comparison categories.
API Cost
Qwen3 235B A22B is 1.9x cheaper: input $0.20/1M vs $0.30/1M tokens.
Context Window
MiniMax M2.7 supports a larger context: 205K vs 128K tokens.
Recency
MiniMax M2.7 is newer: released 3/18/2026 vs 4/28/2025.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — MiniMax M2.7 or Qwen3 235B A22B?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — MiniMax M2.7 or Qwen3 235B A22B?
Qwen3 235B A22B is cheaper for input: $0.20 per 1M tokens vs $0.30.
Which has a larger context window — MiniMax M2.7 or Qwen3 235B A22B?
MiniMax M2.7 supports a larger context: 205,000 tokens vs 128,000.
The MiniMax M2.7 and Qwen3 235B A22B 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 page. See also the complete list of AI model comparisons.