Qwen3.6-27B vs Sakana Namazu: Specs & Benchmark Comparison
| Characteristic | Qwen3.6-27B | Sakana Namazu |
|---|---|---|
| Company | Alibaba | Sakana AI |
| Release Date | April 21, 2026 | August 3, 2026 |
| Parameters | 28B | — |
| Multimodal | Yes | Yes |
| Context (input) | 262K | 256K |
| Context (output) | 66K | 256K |
| Input Price / 1M | $0.60 | $0.95 |
| Output Price / 1M | $3.60 | $4.00 |
| Average Score | 1.0 | 0.9 |
Verdict
Qwen3.6-27B leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Qwen3.6-27B — 1.0, Sakana Namazu — 0.9.
API Cost
Qwen3.6-27B is 1.2x cheaper: input $0.60/1M vs $0.95/1M tokens.
Context Window
Qwen3.6-27B supports a larger context: 262K vs 256K tokens.
Recency
Sakana Namazu is newer: released 8/3/2026 vs 4/21/2026.
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Frequently Asked Questions
Which is better for coding — Qwen3.6-27B 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 — Qwen3.6-27B or Sakana Namazu?
Qwen3.6-27B is cheaper for input: $0.60 per 1M tokens vs $0.95.
Which has a larger context window — Qwen3.6-27B or Sakana Namazu?
Qwen3.6-27B supports a larger context: 262,144 tokens vs 256,000.
The Qwen3.6-27B 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 Qwen3.6-27B or Sakana Namazu page. See also the complete list of AI model comparisons.