Gemini 3.8 Flash vs Sakana Namazu: Specs & Benchmark Comparison
Gemini 3.8 Flash is developed by Google, while Sakana Namazu comes from Sakana AI. Sakana Namazu was released in August 2026, and Gemini 3.8 Flash followed a month later in September 2026.
We have 13 benchmark results for Gemini 3.8 Flash and 3 benchmark results for Sakana Namazu, but they were measured on different benchmarks, so there is no like-for-like scoreboard.
Gemini 3.8 Flash is the cheaper API at $0.75 per million input tokens and $3.75 per million output tokens, about 27% below Sakana Namazu at $0.95 and $4. Gemini 3.8 Flash takes the larger context window at 1M tokens, compared with 256K for Sakana Namazu. Gemini 3.8 Flash accepts text, images, audio, and video as input, while Sakana Namazu accepts text and images. On tooling, only Gemini 3.8 Flash supports function calling and only Gemini 3.8 Flash offers structured output.
| Characteristic | Gemini 3.8 Flash | Sakana Namazu |
|---|---|---|
| Company | Sakana AI | |
| Release Date | September 2, 2026 | August 3, 2026 |
| Parameters | — | — |
| Multimodal | Yes | Yes |
| Context (input) | 1.0M | 256K |
| Context (output) | 66K | 256K |
| Input Price / 1M | $0.75 | $0.95 |
| Output Price / 1M | $3.75 | $4.00 |
| Average Score | 59.2% | 92.4% |
Verdict
Gemini 3.8 Flash leads in 3 out of 4 comparison categories.
Both models show comparable average scores: Gemini 3.8 Flash — 0.6, Sakana Namazu — 0.9.
Gemini 3.8 Flash is 1.1x cheaper: input $0.75/1M vs $0.95/1M tokens.
Gemini 3.8 Flash supports a larger context: 1M vs 256K tokens.
Gemini 3.8 Flash is newer: released 9/2/2026 vs 8/3/2026.
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Frequently Asked Questions
Which is better for coding — Gemini 3.8 Flash or Sakana Namazu?
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The Gemini 3.8 Flash 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 Gemini 3.8 Flash or Sakana Namazu page. See also the complete list of AI model comparisons.