Japanese-specialized reasoning model based on Kimi K2.6 and tuned for Japanese language, culture, and business workflows
- Context
- 262K
- Released
- 2mo ago
- Input / 1M tokens
- $0.95
- Output / 1M tokens
- $4.00
- Cached input / 1M tokens
- $0.15
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- Sakana
- Model family
- —
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- August 3, 2026
- Model ID
sakana/sakana-namazu- Openness
- Closed
- License
- —
- Input modalities
- text, image, file
- Output modalities
- text
- Modality
- text+image+file->text
- Tokenizer
- Other
- Max output tokens
- 66K
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- sakana/sakana-namazu
- Source family
- sakana-namazu
- Last updated
- 2026-08-03
- Model context
- 262K
- Model output limit
- 66K
- Open weights
- No
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature control
- Yes
Published benchmarks
Official references
Complete source record (JSON)
{
"id": "sakana/sakana-namazu",
"name": "Sakana Namazu",
"description": "Japanese-specialized reasoning model based on Kimi K2.6 and tuned for Japanese language, culture, and business workflows",
"family": "sakana-namazu",
"last_updated": "2026-08-03",
"attachment": true,
"reasoning": true,
"tool_call": true,
"structured_output": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"limit": {
"context": 262144,
"output": 65536
},
"benchmarks": [
{
"name": "AIME26",
"score": 96.67,
"source": "https://console.sakana.ai/models?model=sakana-namazu"
},
{
"name": "MMLU-Pro",
"score": 90.33,
"source": "https://console.sakana.ai/models?model=sakana-namazu"
},
{
"name": "LiveCodeBench v6",
"score": 90.33,
"source": "https://console.sakana.ai/models?model=sakana-namazu"
},
{
"name": "JFBench",
"score": 37.4,
"source": "https://console.sakana.ai/models?model=sakana-namazu"
},
{
"name": "Translation",
"score": 52.2,
"source": "https://console.sakana.ai/models?model=sakana-namazu"
},
{
"name": "FairPoliticsQA",
"score": 56.3,
"source": "https://console.sakana.ai/models?model=sakana-namazu"
}
],
"release_date": "2026-08-03",
"open_weights": false,
"links": [
{
"url": "https://sakana.ai/namazu/",
"label": "Official product page",
"type": "announcement"
},
{
"url": "https://console.sakana.ai/models?model=sakana-namazu",
"label": "Official model documentation",
"type": "docs"
}
]
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| sakana | 262K | $0.95 | $4.00 | $0.15 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter