Gemini 3.6 Flash vs Sakana Namazu: Specs & Benchmark Comparison

Gemini 3.6 Flash is developed by Google, while Sakana Namazu comes from Sakana AI. Gemini 3.6 Flash was released in July 2026, and Sakana Namazu followed a month later in August 2026.

We have 4 benchmark results for Gemini 3.6 Flash and 3 benchmark results for Sakana Namazu, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

Sakana Namazu is the cheaper API at $0.95 per million input tokens and $4 per million output tokens, about 58% below Gemini 3.6 Flash at $1.50 and $7.50. Gemini 3.6 Flash takes the larger context window at 1M tokens, compared with 256K for Sakana Namazu. Both accept text and images as input. On tooling, only Gemini 3.6 Flash supports function calling and only Gemini 3.6 Flash offers structured output.

CharacteristicGemini 3.6 FlashSakana Namazu
CompanyGoogleSakana AI
Release DateJuly 21, 2026August 3, 2026
Parameters
MultimodalYesYes
Context (input)1.0M256K
Context (output)66K256K
Input Price / 1M$1.50$0.95
Output Price / 1M$7.50$4.00
Average Score78.5%92.4%

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: Gemini 3.6 Flash — 0.8, Sakana Namazu — 0.9.

API Cost

Sakana Namazu is 1.8x cheaper: input $0.95/1M vs $1.50/1M tokens.

Context Window

Gemini 3.6 Flash supports a larger context: 1M vs 256K tokens.

Recency

Both models were released around the same time: 7/21/2026 and 8/3/2026.

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Frequently Asked Questions

Which is better for coding — Gemini 3.6 Flash 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 — Gemini 3.6 Flash or Sakana Namazu?
Sakana Namazu is cheaper for input: $0.95 per 1M tokens vs $1.50.
Which has a larger context window — Gemini 3.6 Flash or Sakana Namazu?
Gemini 3.6 Flash supports a larger context: 1,048,576 tokens vs 256,000.

The Gemini 3.6 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 3.6 Flash or Sakana Namazu page. See also the complete list of AI model comparisons.