GPT-5 nano vs GPT-5.2: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5 nano
Pricing (per 1M tokens)
Input$0.0500
Output$0.4000
Cached Input$0.005000
Batch Input$0.0250
Batch Output$0.2000
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categorybudget
Multimodaltext
Fine-tuningNo
StreamingYes
OpenAI
GPT-5.2
Pricing (per 1M tokens)
Input$1.75
Output$14.00
Cached Input$0.1750
Batch Input$0.8750
Batch Output$7.00
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-5 nano
97.1% cheaper
Cheaper Output Price
GPT-5 nano
97.1% cheaper
Larger Context Window
GPT-5.2
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5 nano
$0.4500
$0.0500/1M input + $0.4000/1M output
GPT-5.2
$15.75
$1.75/1M input + $14.00/1M output
GPT-5 nano is 97.1% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5 nano or GPT-5.2?
For input tokens, GPT-5 nano is cheaper at $0.0500 per 1M tokens. For output tokens, GPT-5 nano is cheaper at $0.4000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5 nano vs GPT-5.2?
GPT-5 nano has a context window of 400K tokens, while GPT-5.2 has 400K tokens. GPT-5 nano supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
How do GPT-5 nano and GPT-5.2 compare for batch processing?
Both models support batch processing with discounted rates. GPT-5 nano offers a better batch rate at $0.0250 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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