GPT-5.6 Terra vs Claude Opus 4.7: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5.6 Terra
Pricing (per 1M tokens)
Input$2.00
Output$12.00
Cached Input$0.2000
Batch Input$1.00
Batch Output$6.00
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categorymid
Multimodaltext + image
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
GPT-5.6 Terra
60.0% cheaper
Cheaper Output Price
GPT-5.6 Terra
52.0% 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-5.6 Terra
$14.00
$2.00/1M input + $12.00/1M output
Claude Opus 4.7
$30.00
$5.00/1M input + $25.00/1M output
GPT-5.6 Terra is 53.3% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.6 Terra or Claude Opus 4.7?
For input tokens, GPT-5.6 Terra is cheaper at $2.00 per 1M tokens. For output tokens, GPT-5.6 Terra is cheaper at $12.00 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5.6 Terra vs Claude Opus 4.7?
GPT-5.6 Terra has a context window of 1M tokens, while Claude Opus 4.7 has 1M tokens. GPT-5.6 Terra supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do GPT-5.6 Terra and Claude Opus 4.7 compare for batch processing?
Both models support batch processing with discounted rates. GPT-5.6 Terra offers a better batch rate at $1.00 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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