Gemini 3.5 Flash-Lite vs Sakana Namazu: Specs & Benchmark Comparison
| Characteristic | Gemini 3.5 Flash-Lite | Sakana Namazu |
|---|---|---|
| Company | Sakana AI | |
| Release Date | July 21, 2026 | August 3, 2026 |
| Parameters | — | — |
| Multimodal | Yes | Yes |
| Context (input) | 1.0M | 256K |
| Context (output) | 66K | 256K |
| Input Price / 1M | $0.30 | $0.95 |
| Output Price / 1M | $2.50 | $4.00 |
| Average Score | 0.0 | 0.9 |
Verdict
Gemini 3.5 Flash-Lite leads in 2 out of 3 comparison categories.
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.