Quick answer: Sakana Namazu is Sakana AI's Japanese-specialized LLM API, released August 3, 2026, built by fine-tuning Moonshot AI's open-weight Kimi K2.6 on in-house Japanese business-context data. It preserves (and slightly improves on) Kimi K2.6's reasoning and coding scores — 96.67% AIME26, 90.33% MMLU-Pro, 90.33% LiveCodeBench v6 — while substantially improving Japanese-specific performance, most notably FairPoliticsQA (34.10% → 56.30%). It ships with built-in web search and code execution tools behind an OpenAI-compatible API, priced at $0.95 / $4.00 per 1M input/output tokens.
Where Sakana Namazu leads
base_url and the model name)Where it lags
Best for: Japanese-language business workflows — customer support automation, market research agents, and document/email processing — where natural, honorific-appropriate Japanese and low per-token cost matter more than access to open weights.
Sakana Namazu is Sakana AI's production API version of the model previously powering Sakana Chat, rebuilt on top of Moonshot AI's open-weight Kimi K2.6. Rather than training a model from scratch, Sakana AI fine-tuned Kimi K2.6 on proprietary in-house data to adapt it to Japanese language conventions and Japanese business context — natural keigo (honorific) usage, common business-document and email formats, and Japan-specific factual and cultural knowledge — while also tuning down unnecessary topic refusals and reducing bias in its outputs toward any single country's values.
The model retains the agentic capability and reasoning strength of its Kimi K2.6 base (matching it on AIME26, MMLU-Pro, and LiveCodeBench v6, per Sakana's own published comparison) while measurably improving on every Japanese-specific evaluation the company tested: JFBench (Japanese instruction-following), an internal Japanese-English translation benchmark accounting for proper nouns and honorifics, and FairPoliticsQA (neutrality of answers across national viewpoints), where it posted the largest gain of the group.
Sakana Namazu is offered exclusively as a hosted, OpenAI-compatible API (distinct from Sakana Fugu, which orchestrates multiple frontier models rather than running as a single proprietary model) with built-in web search and code-execution tools, aimed at Japanese enterprises that want production-ready Japanese-language quality without either the cost of frontier proprietary APIs or the operational burden of self-hosting an open model.
| Field | Value |
|---|---|
| Organization | Sakana AI |
| Base model | Kimi K2.6 (Moonshot AI, open-weight MoE) |
| License | Proprietary — API access only |
| Release date | August 3, 2026 |
| Modality | Text (Japanese-specialized) |
| Built-in tools | Web search, code execution |
| API compatibility | OpenAI-compatible (base_url + API key swap) |
| Item | Price (USD) |
|---|---|
| Input tokens | $0.95 per 1M tokens |
| Output tokens | $4.00 per 1M tokens |
| Cached input tokens | $0.15 per 1M tokens |
| Web search tool | $7.00 per 1,000 calls (includes page-content retrieval) |
| Code execution tool | $0.12 per hour of session time |
No monthly subscription fee — usage-based billing only, in USD (with a JPY reference conversion shown in the Sakana console at ¥160/$1).
| Benchmark | Score | Source | Date |
|---|---|---|---|
| AIME 2026 | 96.67% | Sakana AI launch blog | 2026-08 |
| MMLU-Pro | 90.33% | Sakana AI launch blog | 2026-08 |
| LiveCodeBench v6 | 90.33% | Sakana AI launch blog | 2026-08 |
| JFBench | 37.40% | Sakana AI launch blog | 2026-08 |
Scores are self-reported by Sakana AI in the official Sakana Namazu launch announcement, directly comparing Namazu against its Kimi K2.6 base model.
Sakana AI also reports results on two evaluations explicitly described as internally built (not independently published or verifiable), so they aren't tracked as standalone Benchgen leaderboard entries:
| Benchmark | Kimi K2.6 (base) | Sakana Namazu |
|---|---|---|
| AIME26 | 96.40% | 96.67% |
| MMLU-Pro | 88.02% | 90.33% |
| LiveCodeBench v6 | 89.60% | 90.33% |
| JFBench | 35.90% | 37.40% |
| Translation (internal) | 47.80% | 52.20% |
| FairPoliticsQA (internal) | 34.10% | 56.30% |
Sakana Namazu preserves — and in most cases very slightly exceeds — Kimi K2.6's reasoning and coding performance, while delivering a clear, consistent uplift across every Japanese-specific benchmark tested. The FairPoliticsQA gain (+22.2 points) is by far the largest, reflecting deliberate tuning for balanced, Japan-aware responses rather than a US-centric default.
Is Sakana Namazu open source? No — Namazu is offered only as a hosted, proprietary API. Its base model, Kimi K2.6, is separately available as an open-weight (Apache 2.0) model from Moonshot AI, but Sakana's fine-tuned Namazu checkpoint itself is not released.
What is Sakana Namazu built on? Kimi K2.6, the open-weight mixture-of-experts model from Moonshot AI, fine-tuned by Sakana AI on proprietary Japanese business-context data.
How much does Sakana Namazu cost? $0.95 per 1M input tokens and $4.00 per 1M output tokens, with cached input at $0.15 per 1M tokens. Web search costs $7.00 per 1,000 calls; code execution costs $0.12 per hour of session time. No monthly fee.
How is Sakana Namazu different from Sakana Fugu? Sakana Fugu orchestrates multiple frontier models together to boost performance; Sakana Namazu is a single, independently fine-tuned proprietary model served as its own API.
What is Sakana Namazu best used for? Japanese-language business workflows — customer support automation, automated market-research agents, and document/email processing — where natural, keigo-appropriate Japanese responses and low token cost matter more than open weights or non-Japanese use cases.
Benchmark scores sourced from Sakana AI's official Sakana Namazu launch announcement (sakana.ai/namazu-api, Aug 3, 2026) and the Sakana Namazu product page (sakana.ai/namazu).
This model isn’t on any benchmark leaderboard yet.