AI model comparison

GPT-5.5 vs Fugu Ultra

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

GPT-5.5 from OpenAI lists 1.05M context, 128K maximum output, $5.00 input per 1M tokens, $30.00 output per 1M tokens. Fugu Ultra from Sakana AI lists 1M context, $5.00 input per 1M tokens, $30.00 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

OpenAI

GPT-5.5

GPT-5.5 from OpenAI: Default frontier GPT for coding, computer use, research, and knowledge work.

Context
1.05M
Max output
128K
Input / 1M tokens
$5.00
Output / 1M tokens
$30.00

Accepts

  • Text input
  • Image input
  • PDF input

Produces

  • Text output
VS

Sakana AI

Fugu Ultra

Fugu Ultra from Sakana AI: Quality-first multi-agent model for hard research, analysis, and competitions.

Context
1M
Input / 1M tokens
$5.00
Output / 1M tokens
$30.00

Accepts

  • Text input
  • Image input

Produces

  • Text output

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

GPT-5.5

  • Context capacity: 1.05M

Context capacity

Higher listed limit

GPT-5.5:1.05M

Fugu Ultra:1M

GPT-5.5

Input price

Lower listed token rate

GPT-5.5:$5.00

Fugu Ultra:$5.00

Same value

Output price

Lower listed token rate

GPT-5.5:$30.00

Fugu Ultra:$30.00

Same value

Specifications

Pricing, limits and capabilities

Specifications for GPT-5.5 and Fugu Ultra. Higher limits and lower prices describe these figures only.
SpecificationGPT-5.5Fugu Ultra
ProviderOpenAISakana AI
Listed pricing routeOpenAISakana AI
Model familygptfugu
Accepted inputstext, image, pdftext, image
Produced outputstexttext
Context window1.05MHigher1M
Max output128K—
Input price / 1M$5.00$5.00
Output price / 1M$30.00$30.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider GPT-5.5 if you need larger context. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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