MiniMax M3 vs Qwen3.7 Max: Specs & Benchmark Comparison
| Characteristic | MiniMax M3 | Qwen3.7 Max |
|---|---|---|
| Company | MiniMax | Alibaba |
| Release Date | June 1, 2026 | May 19, 2026 |
| Parameters | 428B | — |
| Multimodal | Yes | No |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 131K | 66K |
| Input Price / 1M | $0.30 | $2.50 |
| Output Price / 1M | $1.20 | $7.50 |
| Average Score | 0.9 | 1.0 |
Verdict
MiniMax M3 leads in 1 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: MiniMax M3 — 0.9, Qwen3.7 Max — 1.0.
API Cost
MiniMax M3 is 6.7x cheaper: input $0.30/1M vs $2.50/1M tokens.
Context Window
Same context size: 1M tokens.
Recency
Both models were released around the same time: 6/1/2026 and 5/19/2026.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — MiniMax M3 or Qwen3.7 Max?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — MiniMax M3 or Qwen3.7 Max?
MiniMax M3 is cheaper for input: $0.30 per 1M tokens vs $2.50.
Which has a larger context window — MiniMax M3 or Qwen3.7 Max?
MiniMax M3 supports a larger context: 1,000,000 tokens vs 1,000,000.
The MiniMax M3 and Qwen3.7 Max comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the MiniMax M3 or Qwen3.7 Max page. See also the complete list of AI model comparisons.