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AnthropicClaude Opus 4.7VSOpenAIGPT-5.5

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

Claude Opus 4.7 is the superior choice here. It holds a 3.2% average lead in benchmarks while actually being more cost-effective (saving 1.1x on API costs compared to GPT-5.5). Unless you have specific provider lock-in, go with Claude Opus 4.7.
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Model Specs

Claude Opus 4.7

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+5.7%)
64.3%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+0.6%)
94.2%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.1x cheaper
$10.00Input: $5.00 | Output: $25.00
Context Window
1.05M tokens
Model Specs

GPT-5.5

Benchmarks & Scores

Coding (swe-bench-pro)
58.6%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
93.6%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00
Context WindowLarger
1.05M tokens

Frequently Asked Questions about Claude Opus 4.7 vs GPT-5.5

Claude Opus 4.7 is cheaper than GPT-5.5. Claude Opus 4.7 has a blended cost of $10.00/1M tokens, which is about 1.1x cheaper than GPT-5.5 at $11.25/1M tokens.

Claude Opus 4.7 is better for coding tasks on this benchmark. It scores 64.3% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GPT-5.5 which scores 58.6%.

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