Sakana AI: Fugu Ultra
Quality-first multi-agent model for hard research, analysis, and competitions
- Model lab
- Sakana AI
- Model family
- fugu
Model resources
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/sakana-ai/fugu-ultra.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/sakana-ai/fugu-ultra"
response = requests.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model_id,
"messages": [{"role": "user", "content": "Hello!"}],
"stream": False,
},
timeout=60,
)
response.raise_for_status()
print(response.json())Use the familiar OpenAI-style chat request format to make model integration easier.
Fugu Ultra API Pricing
| Type | Price information |
|---|---|
| Input | USD 4 / 1M tokens |
| Output | USD 24 / 1M tokens |
| Cached input | USD 0.4 / 1M tokens |
Benchmarks
Performance
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
Fugu Ultra Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Fugu UltraThis page | USD 4 / 1M tokens | USD 24 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| Fugu | Price currently unavailable | Price currently unavailable | 1,000,000 | Text output · Reasoning · Tool calling |
| Fugu Max | USD 1.6 / 1M tokens | USD 4.8 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| Fugu Ultra v2 | USD 4 / 1M tokens | USD 24 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| DeepSeek V4.1 Flash 1017 | USD 0.028 / 1M tokens · Quantization fp4 | USD 0.4 / 1M tokens · Quantization fp4 | 1,000,000 | Text output · Reasoning · Tool calling |
Model specifications
- Input
- text, image
- Output
- text
- Context window
- 1,000,000
- Maximum output
- —
- Release date
- 2026-06-15
- Attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature setting
- No
- Open weights
- No
Frequently asked questions
What is Fugu Ultra for?
Quality-first multi-agent model for hard research, analysis, and competitions
What inputs and outputs does Fugu Ultra support?
Recorded inputs: text, images; outputs: text.
How is Fugu Ultra priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 4 / 1M tokens; Output USD 24 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Fugu Ultra?
Current model records list Context window 1,000,000 tokens.
What model parameter does the Quickstart use?
The example uses moduck/sakana-ai/fugu-ultra. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.
Can I call this model through the Moduck API now?
This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.