GPT-4o mini vs o1: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-4o mini
Pricing (per 1M tokens)
Input$0.1500
Output$0.6000
Cached Input$0.0750
Batch Input$0.0750
Batch Output$0.3000
Context & Output
Context Window128K tokens
Max Output16.4K tokens
Capabilities
Categorybudget
Multimodaltext + image
Fine-tuningYes
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-4o mini
99.0% cheaper
Cheaper Output Price
GPT-4o mini
99.0% cheaper
Larger Context Window
o1
+72K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-4o mini
$0.7500
$0.1500/1M input + $0.6000/1M output
o1
$75.00
$15.00/1M input + $60.00/1M output
GPT-4o mini is 99.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-4o mini or o1?
For input tokens, GPT-4o mini is cheaper at $0.1500 per 1M tokens. For output tokens, GPT-4o mini is cheaper at $0.6000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-4o mini vs o1?
GPT-4o mini has a context window of 128K tokens, while o1 has 200K tokens. o1 supports a larger context window of 200K tokens, which is beneficial for processing longer documents.
How do GPT-4o mini and o1 compare for batch processing?
Both models support batch processing with discounted rates. GPT-4o mini offers a better batch rate at $0.0750 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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