Sakana Namazu

by Sakanasakana/sakana-namazu

  • Text
  • No route yet
  • Released

LLMCompare cannot run Sakana Namazu yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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Sakana Namazu at a glance

Context length
262,144 tokens
Maximum output
65,536 tokens
Accepts
Text, Image, File
Returns
Text
Features
ReasoningJSON outputTool callingPrompt cachingImage input
Reasoning effort levels
highnoneReasoning can be turned off.
Released
11 Aug 2026
Knowledge cutoff
Not published

Model facts synced from the OpenRouter model list on 21 Oct 2026.

Sakana Namazu pricing by route

A route is the service LLMCompare calls to reach the model. Sakana Namazu has 1 route. Prices are in US dollars.

Prices of Sakana Namazu on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensCache readper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$0.95$4.00$0.15openrouter.ai/sakana/sakana-namazu

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to Sakana Namazu costs. The starting numbers are examples. Change them to match your task.

Part of the input tokens above, billed at the cache read price.

Billed in addition to the output tokens.

Cost per call
$0.003
4 credits
Cost of 100 calls
$0.295
400 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of Sakana Namazu
ParameterTypeRange or optionsDefault
reasoning_effortOne ofhighnonehigh

About Sakana Namazu

Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction following,...

Description as published for this model. LLMCompare has not edited it.

Models to compare with Sakana Namazu

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with Sakana Namazu
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
Fugu MaxSakanasakana/fugu-max1M128k$2.00$6.00ReasoningJSONToolsCacheVisionNo route yet
Fugu Ultra v2Sakanasakana/fugu-ultra-v21M128k$5.00$30.00ReasoningJSONToolsCacheVisionNo route yet
Fugu UltraSakanasakana/fugu-ultra1M128k$5.00$30.00ReasoningJSONToolsCacheVisionNo route yet
Gemini 3.8 FlashGooglegoogle/gemini-3.8-flash1.05M65.5k$0.825$4.13ReasoningJSONToolsCacheVisionNo route yet
InklingThinking Machinesthinkingmachines/inkling524k472k$1.00$4.05ReasoningToolsCacheVisionNo route yet
GLM 5V TurboZ.aiz-ai/glm-5v-turbo203k131k$1.20$4.00JSONToolsCacheVisionNo route yet

Questions about Sakana Namazu

How much does Sakana Namazu cost?
On the OpenRouter route, Sakana Namazu costs $0.95 per 1 million input tokens and $4.00 per 1 million output tokens, in US dollars. Input tokens that Sakana Namazu reads from the prompt cache cost $0.15 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
What is the context length of Sakana Namazu?
Sakana Namazu has a context length of 262,144 tokens and returns up to 65,536 output tokens in one call.
What inputs does Sakana Namazu accept?
Sakana Namazu accepts these inputs: Text, Image, File. Sakana Namazu returns: Text.
Which reasoning effort levels does Sakana Namazu support?
Sakana Namazu supports these reasoning effort levels: high, none. Reasoning can be turned off for Sakana Namazu.
Can I test Sakana Namazu on my own data?
Not yet. LLMCompare lists the prices and parameters of Sakana Namazu, but no route to Sakana Namazu is configured on LLMCompare, so it cannot be selected for an evaluation.