AI model comparison

GPT-5.5 Pro vs Fugu

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

GPT-5.5 Pro from OpenAI lists 1.05M context, 128K maximum output, $30.00 input per 1M tokens, $180.00 output per 1M tokens. Fugu from Sakana AI lists 1M context. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

OpenAI

GPT-5.5 Pro

GPT-5.5 Pro from OpenAI: Highest-accuracy GPT-5.5 tier for slower, precision-heavy reasoning and coding.

Context
1.05M
Max output
128K
Input / 1M tokens
$30.00
Output / 1M tokens
$180.00

Accepts

  • Text input
  • Image input
  • PDF input

Produces

  • Text output
VS

Sakana AI

Fugu

Fugu from Sakana AI: Multi-agent model for routing expert agents across complex analytical tasks.

Context
1M

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 Pro

  • Context capacity: 1.05M

Context capacity

Higher listed limit

GPT-5.5 Pro:1.05M

Fugu:1M

GPT-5.5 Pro

Specifications

Pricing, limits and capabilities

Specifications for GPT-5.5 Pro and Fugu. Higher limits and lower prices describe these figures only.
SpecificationGPT-5.5 ProFugu
ProviderOpenAISakana AI
Listed pricing routeOpenAISakana AI
Model familygpt-profugu
Accepted inputstext, image, pdftext, image
Produced outputstexttext
Context window1.05MHigher1M
Max output128K—
Input price / 1M$30.00—
Output price / 1M$180.00—
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider GPT-5.5 Pro 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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