GPT-5.6 Luna vs o1: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5.6 Luna
Pricing (per 1M tokens)
Input$0.2000
Output$1.20
Cached Input$0.0200
Batch Input$0.1000
Batch Output$0.6000
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categorybudget
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
GPT-5.6 Luna
98.7% cheaper
Cheaper Output Price
GPT-5.6 Luna
98.0% cheaper
Larger Context Window
GPT-5.6 Luna
+800K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5.6 Luna
$1.40
$0.2000/1M input + $1.20/1M output
o1
$75.00
$15.00/1M input + $60.00/1M output
GPT-5.6 Luna is 98.1% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.6 Luna or o1?
For input tokens, GPT-5.6 Luna is cheaper at $0.2000 per 1M tokens. For output tokens, GPT-5.6 Luna is cheaper at $1.20 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5.6 Luna vs o1?
GPT-5.6 Luna has a context window of 1M tokens, while o1 has 200K tokens. GPT-5.6 Luna supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do GPT-5.6 Luna and o1 compare for batch processing?
Both models support batch processing with discounted rates. GPT-5.6 Luna offers a better batch rate at $0.1000 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
Need more tools?
Explore our complete suite of LLM calculators and comparison tools.