o3 mini vs o1: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
o3 mini
Pricing (per 1M tokens)
Input$1.10
Output$4.40
Cached Input$0.5500
Batch Input$0.5500
Batch Output$2.20
Context & Output
Context Window200K tokens
Max Output100K tokens
Capabilities
Categorymid
Multimodaltext
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 mini
92.7% cheaper
Cheaper Output Price
o3 mini
92.7% cheaper
Larger Context Window
o1
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
o3 mini
$5.50
$1.10/1M input + $4.40/1M output
o1
$75.00
$15.00/1M input + $60.00/1M output
o3 mini is 92.7% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, o3 mini or o1?
For input tokens, o3 mini is cheaper at $1.10 per 1M tokens. For output tokens, o3 mini is cheaper at $4.40 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of o3 mini vs o1?
o3 mini has a context window of 200K tokens, while o1 has 200K tokens. o3 mini supports a larger context window of 200K tokens, which is beneficial for processing longer documents.
How do o3 mini and o1 compare for batch processing?
Both models support batch processing with discounted rates. o3 mini offers a better batch rate at $0.5500 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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