GPT-5.5 vs Claude Opus 4.7: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5.5
Pricing (per 1M tokens)
Input$5.00
Output$30.00
Cached Input$0.5000
Batch Input$2.50
Batch Output$15.00
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Anthropic
Claude Opus 4.7
Pricing (per 1M tokens)
Input$5.00
Output$25.00
Cached Input$0.5000
Batch Input$2.50
Batch Output$12.50
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Claude Opus 4.7
0.0% cheaper
Cheaper Output Price
Claude Opus 4.7
16.7% cheaper
Larger Context Window
Claude Opus 4.7
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5.5
$35.00
$5.00/1M input + $30.00/1M output
Claude Opus 4.7
$30.00
$5.00/1M input + $25.00/1M output
Claude Opus 4.7 is 14.3% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.5 or Claude Opus 4.7?
For input tokens, Claude Opus 4.7 is cheaper at $5.00 per 1M tokens. For output tokens, Claude Opus 4.7 is cheaper at $25.00 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5.5 vs Claude Opus 4.7?
GPT-5.5 has a context window of 1M tokens, while Claude Opus 4.7 has 1M tokens. GPT-5.5 supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do GPT-5.5 and Claude Opus 4.7 compare for batch processing?
Both models support batch processing with discounted rates. Claude Opus 4.7 offers a better batch rate at $2.50 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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