GPT-5.6 Luna vs Sakana Namazu: Specs & Benchmark Comparison
| Characteristic | GPT-5.6 Luna | Sakana Namazu |
|---|---|---|
| Company | OpenAI | Sakana AI |
| Release Date | July 9, 2026 | August 3, 2026 |
| Parameters | — | — |
| Multimodal | Yes | Yes |
| Context (input) | 1.1M | 256K |
| Context (output) | 128K | 256K |
| Input Price / 1M | $0.20 | $0.95 |
| Output Price / 1M | $1.20 | $4.00 |
| Average Score | 0.5 | 0.9 |
Verdict
GPT-5.6 Luna leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GPT-5.6 Luna — 0.5, Sakana Namazu — 0.9.
API Cost
GPT-5.6 Luna is 3.5x cheaper: input $0.20/1M vs $0.95/1M tokens.
Context Window
GPT-5.6 Luna supports a larger context: 1M vs 256K tokens.
Recency
Sakana Namazu is newer: released 8/3/2026 vs 7/9/2026.
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Frequently Asked Questions
Which is better for coding — GPT-5.6 Luna 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 — GPT-5.6 Luna or Sakana Namazu?
GPT-5.6 Luna is cheaper for input: $0.20 per 1M tokens vs $0.95.
Which has a larger context window — GPT-5.6 Luna or Sakana Namazu?
GPT-5.6 Luna supports a larger context: 1,050,000 tokens vs 256,000.
The GPT-5.6 Luna 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 GPT-5.6 Luna or Sakana Namazu page. See also the complete list of AI model comparisons.