Requesty
Sakana AI

fugu-ultra

Fugu Ultra is built on a pool of publicly accessible frontier models, rather than running as a single model. It coordinates several models, routing work to 1-3 agents depending on the problem and combining their results into a single answer.

Tool callingCaching
Try fugu-ultraCompareDocs

Specifications

Context window1.0M tokens
Max output131K tokens
API typechat
AddedJun 22, 2026
Model IDsakana/fugu-ultra
Data retentionYes
Used for trainingNo
Provider location🇯🇵 Japan
Privacy policySakana AI Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model. Check the base model page or the Sakana AI models overview.

Pricing

Input / 1M
$5.00
Output / 1M
$30.00
Cache write
N/A
Cache read / 1M
$0.50
Estimated cost
100K input + 10K output$0.80
1M input + 100K output$8.00
10M input + 1M output$80.00

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to sakana/fugu-ultra.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="sakana/fugu-ultra",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Frequently asked questions

How much does fugu-ultra cost?
fugu-ultra is priced at $5.00 per million input tokens and $30.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of fugu-ultra?
fugu-ultra has a context window of 1.0M tokens, with a maximum output of 131K tokens per response. That's roughly 1,398 words of input you can fit in a single prompt.
What can fugu-ultra do?
fugu-ultra supports tool calling, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use fugu-ultra with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "sakana/fugu-ultra". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run fugu-ultra through Requesty?
Yes. fugu-ultra runs through Requesty's OpenAI-compatible API, served from Sakana AI. You do not host the model yourself: point base_url at Requesty, set the model to "sakana/fugu-ultra", and requests are routed to the upstream provider with automatic failover. The same key gives you 400+ other models too.

Access fugu-ultra through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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