GPT-5.5 vs Claude Opus 4.7

GPT-5.5 from OpenAI and Claude Opus 4.7 from Anthropic are shown side by side so you can compare pricing, model IDs, context and output limits, modalities, tool use, release details, and benchmark results where data is available.

Overall Recommendation

GPT-5.5 is the stronger general default, with a 54.8 Intelligence Index and 59.1 Coding Index versus 53.5 and 52.5 for Claude Opus 4.7. Choose Opus for long-running autonomous engineering and a slightly lower output price.

Recommendation based on GPT-5.5 (xhigh) vs Claude Opus 4.7 (Adaptive Reasoning, Max Effort).

Comparison Highlights

GPT-5.5OpenAI
Claude Opus 4.7Anthropic
Best For
Professional codingresearchdocument-heavy work
Advanced engineeringautonomous agentsdifficult knowledge work
How To Read ItUse-case synthesis from model capabilities and positioning.
Workload Fit
CodingAnalysisKnowledge work
EngineeringAutonomyEnterprise
How To Read ItThe workloads each model is most directly shaped for.
Input
$5/M
$5/M
How To Read ItLower is better when prompts or retrieval payloads are large.
Output
$30/M
$25/MEdge
How To Read ItLower is better for reasoning-heavy or long-generation traffic.
Context length
1.1M
1M
How To Read ItHigher is better for repositories, retrieval packs, and transcripts.
Input modalities
Image, PDF, Text
Image, PDF, Text
How To Read ItBroader input support reduces the need for separate vision or video models.

Model Selection Guide

GPT-5.5OpenAI

Choose GPT-5.5 When

  • A 54.8 Intelligence Index and 59.1 Coding Index in TokenHub’s xhigh profile
  • $5 input and $30 output per million tokens, with $0.50 cached input
  • A 1.05M context window, 128K maximum output, and text, image, and PDF input
Claude Opus 4.7Anthropic

Choose Claude Opus 4.7 When

  • A 53.5 Intelligence Index and 52.5 Coding Index in TokenHub’s max-effort profile
  • $5 input and $25 output per million tokens
  • A 1M context window, 128K maximum output, and text, image, and PDF input

Basic Information

GPT-5.5OpenAI
Claude Opus 4.7Anthropic

Name

GPT-5.5GPT-5.5

Model id

GPT-5.5gpt-5.5

Intro

GPT-5.5GPT-5.5 is described by OpenAI as a smarter frontier model for coding, research, data analysis, and professional knowledge work. The official launch messaging emphasizes higher capability, better speed than previous difficult-work models, and strong performance on tasks involving documents and structured analysis. Its description should focus on broad professional intelligence rather than a single niche.

Author

GPT-5.5OpenAI

Released date

GPT-5.52026-04-23

Context length

GPT-5.51.1M

Max output tokens

GPT-5.5128K

Name

Claude Opus 4.7Claude Opus 4.7

Model id

Claude Opus 4.7claude-opus-4.7

Intro

Claude Opus 4.7Claude Opus 4.7 is described by Anthropic as a strong upgrade for advanced software engineering and difficult long-running tasks. Official messaging highlights the model’s ability to handle complicated work and verify its own outputs. It should be described around sustained engineering judgment rather than generic writing quality.

Author

Claude Opus 4.7Anthropic

Released date

Claude Opus 4.72026-04-16

Context length

Claude Opus 4.71M

Max output tokens

Claude Opus 4.7128K

Pricing

GPT-5.5OpenAI
Claude Opus 4.7Anthropic

Input

GPT-5.5$5/M

Output

GPT-5.5$30/M

Cached input

GPT-5.5$0.5/M

Input

Claude Opus 4.7$5/M

Output

Claude Opus 4.7$25/M

Cached input

Claude Opus 4.7$0.5/M

Capabilities

GPT-5.5OpenAI
Claude Opus 4.7Anthropic

Reasoning

GPT-5.5

Knowledge

GPT-5.52025-12-01

Attachment

GPT-5.5

Input modalities

GPT-5.5Image, PDF, Text

Output modalities

GPT-5.5Text

Temperature

GPT-5.5

Tool use

GPT-5.5

Reasoning

Claude Opus 4.7

Knowledge

Claude Opus 4.72026-01-31

Attachment

Claude Opus 4.7

Input modalities

Claude Opus 4.7Image, PDF, Text

Output modalities

Claude Opus 4.7Text

Temperature

Claude Opus 4.7

Tool use

Claude Opus 4.7

Benchmark

GPT-5.5OpenAI
Claude Opus 4.7Anthropic

Intelligence

wins54.8

Coding

wins59.1

Intelligence

53.5

Coding

52.5

Knowledge & Reasoning

GPQA

wins93.5%

HLE

wins44.3%

GPQA

91.4%

HLE

39.6%

Coding

SciCode

wins56.1%

Terminal-Bench Hard

wins60.6%

SciCode

54.5%

Terminal-Bench Hard

51.5%

Instruction Following & Agent Tasks

IFBench

wins75.9%

AA-LCR

wins74.3%

Tau2

wins93.9%

IFBench

58.6%

AA-LCR

70.3%

Tau2

88.6%

FAQ

Which model is better, GPT-5.5 or Claude Opus 4.7?

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GPT-5.5 and Claude Opus 4.7 should be compared by workload. This page places price, context, output limits, capabilities, and benchmark data side by side. It is also relevant to: claude vs chatgpt, claude ai vs chatgpt, chatgpt vs claude comparison, chat gpt vs claude.

Is Claude Opus 4.7 cheaper than GPT-5.5?

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Use the pricing rows above to compare input, output, and cached input prices for GPT-5.5 and Claude Opus 4.7.

Which model supports a longer context length?

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GPT-5.5 lists 1.1M context length, while Claude Opus 4.7 lists 1M.

Can I access both models through TokenHub?

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If both models are available in the TokenHub catalog, you can route requests to GPT-5.5 and Claude Opus 4.7 through the TokenHub API.