Sakana Namazu released
Sakana AI · Model release
Source confirmed
Sakana Namazu
Released Aug 3, 2026 — see all recent releases
Decision reading
Sakana 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.
Data as of September 10, 2026 · How the score is built
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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
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Aug 3, 2026 · you are here
Sakana NamazuNot publicly ranked · $0.95 / $4
Base entry
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.
Radar
Full release historySakana Namazu release history
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Frequently asked 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 across 434 tracked benchmark slots. 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.
Compare Sakana Namazu with every tracked model482 comparisons
Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.
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