GPT-5.2 vs o1: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5.2
Pricing (per 1M tokens)
Input$1.75
Output$14.00
Cached Input$0.1750
Batch Input$0.8750
Batch Output$7.00
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
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-5.2
88.3% cheaper
Cheaper Output Price
GPT-5.2
76.7% cheaper
Larger Context Window
GPT-5.2
+200K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5.2
$15.75
$1.75/1M input + $14.00/1M output
o1
$75.00
$15.00/1M input + $60.00/1M output
GPT-5.2 is 79.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.2 or o1?
For input tokens, GPT-5.2 is cheaper at $1.75 per 1M tokens. For output tokens, GPT-5.2 is cheaper at $14.00 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5.2 vs o1?
GPT-5.2 has a context window of 400K tokens, while o1 has 200K tokens. GPT-5.2 supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
How do GPT-5.2 and o1 compare for batch processing?
Both models support batch processing with discounted rates. GPT-5.2 offers a better batch rate at $0.8750 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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