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, business writing, mathematics, coding, research, and multi-step agent workflows.
Sakana AI may use inputs for model training and improvement by default, with an opt-out available in the Sakana Console. Processing entirely within Japan is not guaranteed.
Modalities
In / Out Price
$0.95 / $4per 1M
Context
262K
Released
Aug 11, 2026
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
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, business writing, mathematics, coding, research, and multi-step agent workflows.
Sakana Namazu costs $0.95/M input tokens and $4.00/M output tokens, with separate rates for Cache Read at $0.15/M tokens, Web Search at $7.00/1K calls and Code Execution at $0.12/hour.
Sakana Namazu has a 262,144 token context window. It supports up to 65,536 completion tokens.
Yes. Sakana Namazu accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Sakana Namazu accepts text, images and files such as PDFs as input and returns text.
Fugu Ultra is another text model from Sakana.
Sakana Namazu was released on August 11, 2026.
| $0.95 | $4.00 | $0.15 | 0.80s | 169 tps |
Throughput
169tok/s
P50, best across providers
Latency
0.80s
P50, best provider
100.00%
95.59%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.