MAI-Code-1.1-Flash vs Sakana Namazu: Specs & Benchmark Comparison

MAI-Code-1.1-Flash is developed by Microsoft, while Sakana Namazu comes from Sakana AI. Both were released in August 2026. MAI-Code-1.1-Flash has a published size of about 138 billion parameters; Sakana AI has not disclosed the parameter count of Sakana Namazu.

We have 2 benchmark results for MAI-Code-1.1-Flash and 3 benchmark results for Sakana Namazu, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

MAI-Code-1.1-Flash is the cheaper API at $0.20 per million input tokens and $1.20 per million output tokens, roughly 5 times cheaper than Sakana Namazu at $0.95 and $4. Both accept a context window of about 256K tokens. Both accept text and images as input.

CharacteristicMAI-Code-1.1-FlashSakana Namazu
CompanyMicrosoftSakana AI
Release DateAugust 11, 2026August 3, 2026
Parameters138B—
MultimodalYesYes
Context (input)256K256K
Context (output)—256K
Input Price / 1M$0.20$0.95
Output Price / 1M$1.20$4.00
Average Score67.8%92.4%

Verdict

MAI-Code-1.1-Flash leads in 1 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: MAI-Code-1.1-Flash — 0.7, Sakana Namazu — 0.9.

API Cost

MAI-Code-1.1-Flash is 3.5x cheaper: input $0.20/1M vs $0.95/1M tokens.

Context Window

Same context size: 256K tokens.

Recency

Both models were released around the same time: 8/11/2026 and 8/3/2026.

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Frequently Asked Questions

Which is better for coding — MAI-Code-1.1-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 — MAI-Code-1.1-Flash or Sakana Namazu?
MAI-Code-1.1-Flash is cheaper for input: $0.20 per 1M tokens vs $0.95.
Which has a larger context window — MAI-Code-1.1-Flash or Sakana Namazu?
MAI-Code-1.1-Flash supports a larger context: 256,000 tokens vs 256,000.

The MAI-Code-1.1-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 MAI-Code-1.1-Flash or Sakana Namazu page. See also the complete list of AI model comparisons.