Qwen3.7 Max vs Sakana Namazu: Specs & Benchmark Comparison
Qwen3.7 Max is developed by Alibaba, while Sakana Namazu comes from Sakana AI. Qwen3.7 Max was released in May 2026, and Sakana Namazu followed 3 months later in August 2026.
The two models share 2 published benchmarks. They split them evenly, 1 to 1. The widest gaps are on LiveCodeBench v6, where Qwen3.7 Max scores 91.6% against 90.3%; MMLU-Pro, where Sakana Namazu scores 90.3% against 89.6%. Averaged across everything we track, Qwen3.7 Max sits at 73.6% and Sakana Namazu at 92.4%.
Sakana Namazu is the cheaper API at $0.95 per million input tokens and $4 per million output tokens, roughly 3 times cheaper than Qwen3.7 Max at $2.50 and $7.50. Qwen3.7 Max takes the larger context window at 1M tokens, compared with 256K for Sakana Namazu. Qwen3.7 Max accepts text as input, while Sakana Namazu accepts text and images. On tooling, only Qwen3.7 Max supports function calling and only Qwen3.7 Max offers structured output.
| 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 | 73.6% | 92.4% |
| Benchmarks | ||
| LiveCodeBench v6 | 91.6% | 90.3% |
| MMLU-Pro | 89.6% | 90.3% |
Visual Benchmark Comparison
Verdict
Sakana Namazu leads in 2 out of 4 comparison categories.
Both models show comparable average scores: Qwen3.7 Max — 0.7, Sakana Namazu — 0.9.
Sakana Namazu is 2.0x cheaper: input $0.95/1M vs $2.50/1M tokens.
Qwen3.7 Max supports a larger context: 1M vs 256K tokens.
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?
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Which has a larger context window — Qwen3.7 Max or Sakana Namazu?
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.