Sakana Namazu

Sakana Namazu by sakana excels in the Coding category, where it ranks #233 with a composite score of 40/100. 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,... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Sakana Namazu is priced at $0.95 per million input tokens and $4.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Sakana Namazu holds rank #233 out of 380 models tracked. Its quality rank is #233 and adoption rank is #233. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Sakana Namazu has been evaluated across 5 different signals. Its strongest areas include Capabilities (100/100), Pricing (96/100), Context Window (86/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

Sakana Namazu is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check sakana's website for current free tier availability and promotional offers.

Sakana Namazu supports a 262K token context window (262,144 tokens total). That translates to roughly 196,608 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

Sakana Namazu can generate up to 66K output tokens (65,536 tokens) per response. That is roughly 49,152 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.

Sakana Namazu supports image understanding (vision), function/tool calling, structured JSON output, extended reasoning/chain-of-thought, web search, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. Vision support means it can analyze images, screenshots, and diagrams alongside text. These capabilities determine which workflows and integrations the model can handle natively.

Sakana Namazu was developed by sakana. It was released on August 11, 2026. You can access it through sakana's API. Check our provider page for all models from sakana and how they compare against each other.

Pick Sakana Namazu when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Sakana Namazu through sakana's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.