Qwen3.5 27B vs Sakana Namazu: Specs & Benchmark Comparison
Qwen3.5 27B is developed by Alibaba, while Sakana Namazu comes from Sakana AI. Qwen3.5 27B was released in March 2026, and Sakana Namazu followed 5 months later in August 2026. Qwen3.5 27B has a published size of about 27 billion parameters; Sakana AI has not disclosed the parameter count of Sakana Namazu.
The two models share 2 published benchmarks. Sakana Namazu leads on 2 of them. The widest gaps are on LiveCodeBench v6, where Sakana Namazu scores 90.3% against 80.7%; MMLU-Pro, where Sakana Namazu scores 90.3% against 86.1%. Averaged across everything we track, Qwen3.5 27B sits at 70.3% and Sakana Namazu at 92.4%.
Sakana Namazu is available through an API at $0.95 per million input tokens with a 256K-token context window. We do not track a hosted API for Qwen3.5 27B, so pricing and context cannot be compared directly.
| Characteristic | Qwen3.5 27B | Sakana Namazu |
|---|---|---|
| Company | Alibaba | Sakana AI |
| Release Date | March 1, 2026 | August 3, 2026 |
| Parameters | 27B | — |
| Multimodal | No | Yes |
| Context (input) | — | 256K |
| Context (output) | — | 256K |
| Input Price / 1M | — | $0.95 |
| Output Price / 1M | — | $4.00 |
| Average Score | 70.3% | 92.4% |
| Benchmarks | ||
| LiveCodeBench v6 | 80.7% | 90.3% |
| MMLU-Pro | 86.1% | 90.3% |
Visual Benchmark Comparison
Verdict
Sakana Namazu leads in 1 out of 2 comparison categories.
Both models show comparable average scores: Qwen3.5 27B — 0.7, Sakana Namazu — 0.9.
Sakana Namazu is newer: released 8/3/2026 vs 3/1/2026.
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Frequently Asked Questions
Which is better for coding — Qwen3.5 27B or Sakana Namazu?
Which model is cheaper — Qwen3.5 27B or Sakana Namazu?
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The Qwen3.5 27B 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 Qwen3.5 27B or Sakana Namazu page. See also the complete list of AI model comparisons.