GPT-5 nano vs GPT-5.6 Sol: 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-5.6 Sol
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
GPT-5 nano
99.0% cheaper
Cheaper Output Price
GPT-5 nano
98.7% cheaper
Larger Context Window
GPT-5.6 Sol
+600K 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-5.6 Sol
$35.00
$5.00/1M input + $30.00/1M output
GPT-5 nano is 98.7% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5 nano or GPT-5.6 Sol?
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-5.6 Sol?
GPT-5 nano has a context window of 400K tokens, while GPT-5.6 Sol has 1M tokens. GPT-5.6 Sol supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do GPT-5 nano and GPT-5.6 Sol 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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