MiMo-V2.6-Flash vs Sakana Namazu: Specs & Benchmark Comparison
MiMo-V2.6-Flash is developed by Xiaomi, while Sakana Namazu comes from Sakana AI. Sakana Namazu was released in August 2026, and MiMo-V2.6-Flash followed a month later in September 2026. MiMo-V2.6-Flash has a published size of about 309 billion parameters; Sakana AI has not disclosed the parameter count of Sakana Namazu.
We have 16 benchmark results for MiMo-V2.6-Flash and 3 benchmark results for Sakana Namazu, but they were measured on different benchmarks, so there is no like-for-like scoreboard.
MiMo-V2.6-Flash is the cheaper API at $0.14 per million input tokens and $0.28 per million output tokens, roughly 7 times cheaper than Sakana Namazu at $0.95 and $4. MiMo-V2.6-Flash takes the larger context window at 1M tokens, compared with 256K for Sakana Namazu. MiMo-V2.6-Flash accepts text, images, audio, and video as input, while Sakana Namazu accepts text and images. On tooling, only MiMo-V2.6-Flash supports function calling and only MiMo-V2.6-Flash offers structured output.
| Characteristic | MiMo-V2.6-Flash | Sakana Namazu |
|---|---|---|
| Company | Xiaomi | Sakana AI |
| Release Date | September 22, 2026 | August 3, 2026 |
| Parameters | 309B | — |
| Multimodal | Yes | Yes |
| Context (input) | 1.0M | 256K |
| Context (output) | — | 256K |
| Input Price / 1M | $0.14 | $0.95 |
| Output Price / 1M | $0.28 | $4.00 |
| Average Score | 55.6% | 92.4% |
Verdict
MiMo-V2.6-Flash leads in 3 out of 4 comparison categories.
Both models show comparable average scores: MiMo-V2.6-Flash — 0.6, Sakana Namazu — 0.9.
MiMo-V2.6-Flash is 11.8x cheaper: input $0.14/1M vs $0.95/1M tokens.
MiMo-V2.6-Flash supports a larger context: 1M vs 256K tokens.
MiMo-V2.6-Flash is newer: released 9/22/2026 vs 8/3/2026.
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Frequently Asked Questions
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The MiMo-V2.6-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 MiMo-V2.6-Flash or Sakana Namazu page. See also the complete list of AI model comparisons.