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Model registry / Sakana AI / Sakana Namazu / Sakana Namazu

Sakana Namazu

Japanese-specialized reasoning model based on Kimi K2.6 and tuned for Japanese language, culture, and business workflows

Line

Sakana Namazu

Weights

API only

Released

2026-08-03

Context

262K

Input

$0.95 / 1M

Output

$4.00 / 1M

Max output

66K

Coverage

not covered yet

Overview

Sakana Namazu is a Japanese-specialized reasoning model based on Kimi K2.6, tuned for Japanese language, culture, and business workflows. It is the first version in the sakana-namazu line. It has a context window of 262144 tokens and a maximum output of 65536 tokens. Pricing starts at $0.95 per million input tokens and $4.00 per million output tokens, with cached input at $0.15 per million tokens. The weights are not open. It supports reasoning mode and tool calling, and accepts image, PDF, and text inputs, returning text.

Specs

Released2026-08-03
LineSakana AI · Sakana Namazu
WeightsAPI only
Context262K tokens
Max output66K tokens
Inputimage, pdf, text
Outputtext
ReasoningYes
Tool callingYes
Knowledge cutoffnot stated
API idsakana-namazu

Pricing

Input$0.95 / 1M tokens
Cached input$0.15 / 1M tokens
Output$4.00 / 1M tokens

First version of its line in the registry.

Strengths

  • Japanese-specialized reasoning tuned for business workflows
  • 262144 token context window
  • 65536 token max output
  • Supports tool calling and reasoning mode
  • Accepts image, PDF, and text inputs

Best for

  • Reach for it for Japanese language reasoning tasks
  • Reach for it for business workflows in Japanese
  • Reach for it for long-context analysis
  • Reach for it for processing mixed-media documents

How to access

ProviderModel id
Kilo Gatewaysakana-namazu
Merge Gatewaysakana-namazu
NanoGPTsakana-namazu
OpenRoutersakana-namazu
Sakana AIsakana-namazu

5 hosts serve this model at the price above · the maker's documentation

Sakana Namazu: every version

VersionReleasedContextInput
Sakana NamazuCurrent2026-08-03262K$0.95

The registry keeps the six most recent versions of a line. Older ones stay in the file and can be surfaced without a rebuild.

FAQ

What is the context window size?
The context window is 262144 tokens.
Is the model open weights?
No, the weights are not open.
What input formats does it accept?
It accepts image, PDF, and text inputs.
ProprietaryReasoning262K context