sakana · Frontier
Fugu Ultra
Sakana AI's higher-quality Fugu model. It coordinates a deeper pool of expert agents for hard, high-stakes reasoning and coding tasks.
- Reasoning
- Tools
- Vision
- Structured output
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- high · xhigh · max
- Discovery tier
- Frontier
Pricing
USD per 1M tokens- Input
- $5.00
- Output
- $30.00
- Cache read
- $0.50
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 16.4K
- Average output (7 days)
- 33 tokens
- Longer than 2% of 473 models
Side by side
Fugu Ultra compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Fugu UltrasakanaThis model | Fugu Ultra v1.1sakanaRemove | |
|---|---|---|
| Provider | sakana | sakana |
| Discovery tier | Frontier | Frontier |
| Added | Jun 22, 2026 | Jul 24, 2026 |
| Limits | ||
| Context window | 1M | 1M |
| Max output | 16.38K | 16.38K |
| Average output | 33 tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $5.00 | $5.00 |
| Output | $30.00 | $30.00 |
| Cache read | $0.50 | $0.50 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| Reasoning effort | high, xhigh, max | high, xhigh, max |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "sakana/fugu-ultra",
"reasoning_effort": "high",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="sakana/fugu-ultra",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)sakana
Related models
Other sakana models, starting with the same family.
- Frontier
- FrontierCompare