GPT-5.6 Terra vs o1: 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
OpenAI
o1
Pricing (per 1M tokens)
Input$15.00
Output$60.00
Cached Input$7.50
Batch Input$7.50
Batch Output$30.00
Context & Output
Context Window200K tokens
Max Output100K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-5.6 Terra
86.7% cheaper
Cheaper Output Price
GPT-5.6 Terra
80.0% cheaper
Larger Context Window
GPT-5.6 Terra
+800K 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
o1
$75.00
$15.00/1M input + $60.00/1M output
GPT-5.6 Terra is 81.3% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.6 Terra or o1?
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 o1?
GPT-5.6 Terra has a context window of 1M tokens, while o1 has 200K 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 o1 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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