Kimi K2.5 vs Sakana Namazu: Specs & Benchmark Comparison

Kimi K2.5 is developed by Moonshot AI, while Sakana Namazu comes from Sakana AI. Kimi K2.5 was released in January 2026, and Sakana Namazu followed 7 months later in August 2026. Kimi K2.5 has a published size of about 1.0 trillion parameters; Sakana AI has not disclosed the parameter count of Sakana Namazu.

The two models share 2 published benchmarks. Sakana Namazu leads on 2 of them. The widest gaps are on LiveCodeBench v6, where Sakana Namazu scores 90.3% against 85.0%; MMLU-Pro, where Sakana Namazu scores 90.3% against 87.1%. Averaged across everything we track, Kimi K2.5 sits at 71.0% and Sakana Namazu at 92.4%.

Sakana Namazu is available through an API at $0.95 per million input tokens with a 256K-token context window. We do not track a hosted API for Kimi K2.5, so pricing and context cannot be compared directly.

CharacteristicKimi K2.5Sakana Namazu
CompanyMoonshot AISakana AI
Release DateJanuary 26, 2026August 3, 2026
Parameters1.0T
MultimodalYesYes
Context (input)256K
Context (output)256K
Input Price / 1M$0.95
Output Price / 1M$4.00
Average Score71.0%92.4%
Benchmarks
LiveCodeBench v685.0%90.3%
MMLU-Pro87.1%90.3%

Visual Benchmark Comparison

Kimi K2.5
Sakana Namazu
LiveCodeBench v60.8 vs 0.9
0.8
0.9
MMLU-Pro0.9 vs 0.9
0.9
0.9

Verdict

Sakana Namazu leads in 1 out of 2 comparison categories.

Overall Performance

Both models show comparable average scores: Kimi K2.5 — 0.7, Sakana Namazu — 0.9.

Recency

Sakana Namazu is newer: released 8/3/2026 vs 1/26/2026.

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Frequently Asked Questions

Which is better for coding — Kimi K2.5 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 K2.5 or Sakana Namazu?
API pricing data is available on the individual model pages.
Which has a larger context window — Kimi K2.5 or Sakana Namazu?
Context window data is available on the individual model pages.

The Kimi K2.5 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 K2.5 or Sakana Namazu page. See also the complete list of AI model comparisons.