Data as of October 25, 2026 · How the score is built
Released Aug 3, 2026256K contextSakana AI Sakana Namazu announcement
Sakana Namazu
Decision readingSakana Namazu is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Aug 3, 2026 — see all recent releases
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- sakana-namazuSakana AI console pricing
- Context window
- 256KSakana AI console pricing
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not disclosed by the provider
- Availability
- Available since August 3, 2026 through Sakana AI’s OpenAI-compatible API at api.sakana.ai/v1 as sakana-namazu, with built-in web search and code execution tools. Not offered in the EU, EEA, UK, or Switzerland at launch. The context window is inherited from the Kimi K2.6 base model because Sakana does not publish a separate figure.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.15 per million cached input tokensSakana AI console pricing
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track Sakana Namazu, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.
Sakana Namazu is a proprietary model with a 256K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Available since August 3, 2026 through Sakana AI’s OpenAI-compatible API at api.sakana.ai/v1 as sakana-namazu, with built-in web search and code execution tools. Not offered in the EU, EEA, UK, or Switzerland at launch. The context window is inherited from the Kimi K2.6 base model because Sakana does not publish a separate figure.
Sakana Namazu is a Japanese-specialised adaptation of Moonshot AI’s Kimi K2.6 announced on August 3, 2026. Sakana reports that it keeps the base model’s AIME26, MMLU-Pro, and LiveCodeBench v6 results, outperforms it on JFBench and Japanese-English translation, and raises FairPoliticsQA from 34.10% to 56.30%; none of those rows has an exact lane in the current schema, so the row carries no scored benchmarks and stays unranked.
The profile has no source-displayable benchmark row yet.
Last updated October 25, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Where to run Sakana Namazu by API
OpenRouter is the one host we track that publishes a per-token price for it. Prices read from each host’s own pages on October 20, 2026.
| Host | Input /1M | Output /1M | Cached /1M | Context |
|---|---|---|---|---|
| OpenRouter | $0.95 | $4.00 | $0.15 | 262K |
Questions
How does Sakana Namazu perform overall in AI benchmarks?
Sakana Namazu does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.
Does Sakana Namazu have full benchmark coverage on BenchLM?
No. Sakana Namazu currently has 0 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Sakana Namazu?
Sakana Namazu has a documented context window of 256K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.