GPT-5 Nano pricing and routing profile
GPT-5 Nano from OpenAI lists at $0.05 per million input tokens and $0.40 per million output tokens, with a 400,000-token context window. Prices from OpenRouter's catalogue on 2026-09-28.
Tool callingStructured outputReasoning control
Cost per 1,000 requests
| Request shape | List cost |
|---|---|
| Classification or routing (600 tokens in, 10 out) | $0.034 |
| Chat reply (2,000 in, 400 out) | $0.26 |
| Retrieval-augmented answer (8,000 in, 500 out) | $0.60 |
Before prompt caching. Try your own shape in the cost calculator.
Can Gimbix route to it first?
Not as a first-answer model through OpenRouter: no host returns token log probabilities for GPT-5 Nano. It can still be the model Gimbix falls back to when a cheaper model is unsure.
Cheaper models that can answer first
Models priced below GPT-5 Nano that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.
| Model | Input / output per 1M | Cheaper on a chat reply |
|---|---|---|
| DeepSeek V4 Flash 0731 | $0.021 / $0.32 | 35% |
| Qwen3.7 Flash | $0.03 / $0.13 | 57% |
| Granite 4.0 Micro | $0.017 / $0.112 | 70% |
| gpt-oss-20b | $0.018 / $0.09 | 72% |
| Ling 3.0 Flash | $0.021 / $0.063 | 74% |
| Ling 3.0 Flash VL | $0.021 / $0.0616 | 74% |
Questions
How much does GPT-5 Nano cost?
GPT-5 Nano lists at $0.05 per million input tokens and $0.40 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $0.26 per 1,000 requests.
What is the context window of GPT-5 Nano?
400,000 tokens.
Can a cheaper model replace GPT-5 Nano?
Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match GPT-5 Nano on one half of your requests and make at most three answers worse on the other.