AI model comparison

Claude Sonnet 3.5 v2 vs GPT-5.5

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

Claude Sonnet 3.5 v2 from Anthropic lists 200K context, 8.19K maximum output, $3.00 input per 1M tokens, $15.00 output per 1M tokens. GPT-5.5 from OpenAI lists 1.05M context, 128K maximum output, $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

Anthropic

Claude Sonnet 3.5 v2

Claude Sonnet 3.5 v2 from Anthropic: Balanced Claude model for coding, analysis, agent workflows, and cost control.

Context
200K
Max output
8.19K
Input / 1M tokens
$3.00
Output / 1M tokens
$15.00
Output speed
78 t/s

Accepts

  • Text input
  • Image input
  • PDF input

Produces

  • Text output
VS

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

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
  • Maximum output: 128K

Context capacity

Higher listed limit

Claude Sonnet 3.5 v2:200K

GPT-5.5:1.05M

GPT-5.5

Maximum output

Higher listed limit

Claude Sonnet 3.5 v2:8.19K

GPT-5.5:128K

GPT-5.5

Specifications

Pricing, limits and capabilities

Specifications for Claude Sonnet 3.5 v2 and GPT-5.5. Higher limits and lower prices describe these figures only.
SpecificationClaude Sonnet 3.5 v2GPT-5.5
ProviderAnthropicOpenAI
Listed pricing routeAnthropicOpenAI
Model familyclaude-sonnetgpt
Accepted inputstext, image, pdftext, image, pdf
Produced outputstexttext
Context window200K1.05MHigher
Max output8.19K128KHigher
Input price / 1M$3.00$5.00
Output price / 1M$15.00$30.00
Output speed78 t/s—
Time to first token0.60s—
Reasoning modeNot documentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider GPT-5.5 if you need larger context or larger maximum output. 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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