o3 vs o1: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
o3
Pricing (per 1M tokens)
Input$2.00
Output$8.00
Cached Input$0.5000
Batch Input$1.00
Batch Output$4.00
Context & Output
Context Window200K tokens
Max Output100K tokens
Capabilities
Categoryflagship
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
o3
86.7% cheaper
Cheaper Output Price
o3
86.7% cheaper
Larger Context Window
o1
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
o3
$10.00
$2.00/1M input + $8.00/1M output
o1
$75.00
$15.00/1M input + $60.00/1M output
o3 is 86.7% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, o3 or o1?
For input tokens, o3 is cheaper at $2.00 per 1M tokens. For output tokens, o3 is cheaper at $8.00 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of o3 vs o1?
o3 has a context window of 200K tokens, while o1 has 200K tokens. o3 supports a larger context window of 200K tokens, which is beneficial for processing longer documents.
How do o3 and o1 compare for batch processing?
Both models support batch processing with discounted rates. o3 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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