Qwen3.7 Max vs Sakana Namazu: Specs & Benchmark Comparison
| Characteristic | Qwen3.7 Max | Sakana Namazu |
|---|---|---|
| Company | Alibaba | Sakana AI |
| Release Date | May 19, 2026 | August 3, 2026 |
| Parameters | — | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 256K |
| Context (output) | 66K | 256K |
| Input Price / 1M | $2.50 | $0.95 |
| Output Price / 1M | $7.50 | $4.00 |
| Average Score | 1.0 | 0.9 |
Verdict
Sakana Namazu leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Qwen3.7 Max — 1.0, Sakana Namazu — 0.9.
API Cost
Sakana Namazu is 2.0x cheaper: input $0.95/1M vs $2.50/1M tokens.
Context Window
Qwen3.7 Max supports a larger context: 1M vs 256K tokens.
Recency
Sakana Namazu is newer: released 8/3/2026 vs 5/19/2026.
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Frequently Asked Questions
Which is better for coding — Qwen3.7 Max or Sakana Namazu?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Qwen3.7 Max or Sakana Namazu?
Sakana Namazu is cheaper for input: $0.95 per 1M tokens vs $2.50.
Which has a larger context window — Qwen3.7 Max or Sakana Namazu?
Qwen3.7 Max supports a larger context: 1,000,000 tokens vs 256,000.
The Qwen3.7 Max and Sakana Namazu comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Qwen3.7 Max or Sakana Namazu page. See also the complete list of AI model comparisons.