o4 mini vs GPT-5.5: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
o4 mini
Pricing (per 1M tokens)
Input$1.10
Output$4.40
Cached Input$0.2750
Batch Input$0.5500
Batch Output$2.20
Context & Output
Context Window200K tokens
Max Output100K tokens
Capabilities
Categorymid
Multimodaltext + image
Fine-tuningNo
StreamingYes
OpenAI
GPT-5.5
Pricing (per 1M tokens)
Input$5.00
Output$30.00
Cached Input$0.5000
Batch Input$2.50
Batch Output$15.00
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
o4 mini
78.0% cheaper
Cheaper Output Price
o4 mini
85.3% cheaper
Larger Context Window
GPT-5.5
+800K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
o4 mini
$5.50
$1.10/1M input + $4.40/1M output
GPT-5.5
$35.00
$5.00/1M input + $30.00/1M output
o4 mini is 84.3% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, o4 mini or GPT-5.5?
For input tokens, o4 mini is cheaper at $1.10 per 1M tokens. For output tokens, o4 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 o4 mini vs GPT-5.5?
o4 mini has a context window of 200K tokens, while GPT-5.5 has 1M tokens. GPT-5.5 supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do o4 mini and GPT-5.5 compare for batch processing?
Both models support batch processing with discounted rates. o4 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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