Gemini 3.5 Flash-Lite vs Sakana Namazu: Specs & Benchmark Comparison

Gemini 3.5 Flash-Lite is developed by Google, while Sakana Namazu comes from Sakana AI. Gemini 3.5 Flash-Lite was released in July 2026, and Sakana Namazu followed a month later in August 2026.

We have 6 benchmark results for Gemini 3.5 Flash-Lite and 3 benchmark results for Sakana Namazu, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

Gemini 3.5 Flash-Lite is the cheaper API at $0.30 per million input tokens and $2.50 per million output tokens, roughly 3 times cheaper than Sakana Namazu at $0.95 and $4. Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite supports function calling and only Gemini 3.5 Flash-Lite offers structured output.

CharacteristicGemini 3.5 Flash-LiteSakana Namazu
CompanyGoogleSakana AI
Release DateJuly 21, 2026August 3, 2026
Parameters
MultimodalYesYes
Context (input)1.0M256K
Context (output)66K256K
Input Price / 1M$0.30$0.95
Output Price / 1M$2.50$4.00
Average Score53.2%92.4%

Verdict

Gemini 3.5 Flash-Lite leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: Gemini 3.5 Flash-Lite — 0.5, Sakana Namazu — 0.9.

API Cost

Gemini 3.5 Flash-Lite is 1.8x cheaper: input $0.30/1M vs $0.95/1M tokens.

Context Window

Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite 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 3.5 Flash-Lite or Sakana Namazu?
Gemini 3.5 Flash-Lite is cheaper for input: $0.30 per 1M tokens vs $0.95.
Which has a larger context window — Gemini 3.5 Flash-Lite or Sakana Namazu?
Gemini 3.5 Flash-Lite supports a larger context: 1,048,576 tokens vs 256,000.

The Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite or Sakana Namazu page. See also the complete list of AI model comparisons.