GPT-5 nano API pricing (August 2026)
What it costs at real volumes
A chat-shaped workload: 800 input tokens and 300 output tokens per request, no caching, no batch.
Specifications
- Provider
- OpenAI
- Context window
- 400K tokens
- Max output
- 128K tokens
- Tier
- small
- Status
- GA
- Blended $/1M (3:1)
- $0.138
- Cache break-even hit rate
- 0% — caching always saves
- Prices verified
- 4 Aug 2026
Source: OpenAI pricing. Finitizer is not affiliated with OpenAI.
Similar models
Other gpt models
- GPT-5+$3.30
- GPT-5 mini+$0.550
- GPT-4.1+$3.36
- GPT-4.1 mini+$0.563
- GPT-4.1 nano+$0.038
- GPT-4o+$4.24
- GPT-4o mini+$0.125
- o3+$3.36
- o4-mini+$1.79
Closest prices elsewhere
- Amazon Nova Lite$-0.033
- Gemini 2.5 Flash-Lite+$0.038
- Gemini 2.0 Flash+$0.038
- DeepSeek V4 Flash+$0.038
Frequently asked questions
How much does GPT-5 nano cost per 1M tokens?
GPT-5 nano costs $0.050 per million input tokens and $0.400 per million output tokens at OpenAI list prices. Output is 8.0x the input rate, so the input:output ratio of your workload drives the real cost more than the headline price.
Does GPT-5 nano support prompt caching?
Yes. Cached input is billed at $0.00500 per million tokens, 10x cheaper than uncached input. There is no cache-write premium, so caching is never a net loss.
What is the batch discount for GPT-5 nano?
Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $0.025 and output to $0.200 per million tokens.
What is GPT-5 nano's context window?
400K tokens of context with up to 128K output tokens per request. A larger context window raises the ceiling on what you can send, not the price per token — but filling it on every request is one of the most common causes of an unexpected bill.
Running GPT-5 nano in production?
Finitizer TokenOps attributes real token spend to teams, features, and prompts — so you find out which workload moved the bill before the invoice does.