Kimi K3 vs Sakana Namazu: Specs & Benchmark Comparison

Kimi K3 is developed by Moonshot AI, while Sakana Namazu comes from Sakana AI. Kimi K3 was released in July 2026, and Sakana Namazu followed a month later in August 2026. Kimi K3 has a published size of about 2.8 trillion parameters; Sakana AI has not disclosed the parameter count of Sakana Namazu.

We have 31 benchmark results for Kimi K3 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, roughly 3 times cheaper than Kimi K3 at $3 and $15. Kimi K3 takes the larger context window at 1M tokens, compared with 256K for Sakana Namazu. Both accept text and images as input. On tooling, only Kimi K3 supports function calling and only Kimi K3 offers structured output.

CharacteristicKimi K3Sakana Namazu
CompanyMoonshot AISakana AI
Release DateJuly 16, 2026August 3, 2026
Parameters2.8T
MultimodalYesYes
Context (input)1.0M256K
Context (output)1.0M256K
Input Price / 1M$3.00$0.95
Output Price / 1M$15.00$4.00
Average Score67.8%92.4%

Verdict

Sakana Namazu leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: Kimi K3 — 0.7, Sakana Namazu — 0.9.

API Cost

Sakana Namazu is 3.6x cheaper: input $0.95/1M vs $3.00/1M tokens.

Context Window

Kimi K3 supports a larger context: 1M vs 256K tokens.

Recency

Sakana Namazu is newer: released 8/3/2026 vs 7/16/2026.

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Frequently Asked Questions

Which is better for coding — Kimi K3 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 — Kimi K3 or Sakana Namazu?
Sakana Namazu is cheaper for input: $0.95 per 1M tokens vs $3.00.
Which has a larger context window — Kimi K3 or Sakana Namazu?
Kimi K3 supports a larger context: 1,000,000 tokens vs 256,000.

The Kimi K3 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 Kimi K3 or Sakana Namazu page. See also the complete list of AI model comparisons.