Moduck

Sakana AI: Fugu Ultra

Quality-first multi-agent model for hard research, analysis, and competitions

Model lab
Sakana AI
Model family
fugu

Model resources

Modalitiestext, image → text
Context window1,000,000
Maximum output—
InputUSD 4 / 1M tokens
OutputUSD 24 / 1M tokens

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

TypePrice information
InputUSD 4 / 1M tokens
OutputUSD 24 / 1M tokens
Cached inputUSD 0.4 / 1M tokens

Benchmarks

BenchmarkScoreMeasurementSource
SWE Bench Pro73.7—
Terminal Bench 2.182.1—
LiveCodeBench93.2—
LiveCodeBench Pro90.8—
Humanity’s Last Exam50—
CharXiv Reasoning86.6—
GPQA Diamond95.5—
SciCode58.7—
τ3 Banking20.6—
Long Context Reasoning73.3—
MRCRv293.6—
CTI-REALM69.4—

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

Throughput93.5 tok/sCurrent
Time to first token1.3 sCurrent
End-to-end latency8.1 sCurrent
Throughput
Current93.5 tok/s
Window average89.8 tok/s
Time to first token
Current1.3 s
Window average1.4 s
End-to-end latency
Current8.1 s
Window average7.5 s
Tail latency (P99)
Current13.5 s
Window average17.3 s
Prompt cache hit rate
Current26.1%
Window average24.7%
Error rate
Current0.0%
Window average0.2%

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.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Fugu Ultra Compare models

ModelInput priceOutput priceContext windowCapabilities
Fugu UltraThis pageUSD 4 / 1M tokensUSD 24 / 1M tokens1,000,000Text output · Reasoning · Tool calling
FuguPrice currently unavailablePrice currently unavailable1,000,000Text output · Reasoning · Tool calling
Fugu MaxUSD 1.6 / 1M tokensUSD 4.8 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Fugu Ultra v2USD 4 / 1M tokensUSD 24 / 1M tokens1,000,000Text output · Reasoning · Tool calling
DeepSeek V4.1 Flash 1017USD 0.028 / 1M tokens · Quantization fp4USD 0.4 / 1M tokens · Quantization fp41,000,000Text 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.