GPT-4.1 nano pricing, context window and limits
GPT-4.1 nano costs $0.1 per million input tokens and $0.4 per million output tokens at OpenAI list price. It accepts up to 1,047,576 tokens of context and returns up to 32,768 tokens.
- Model id
gpt-4.1-nano - Snapshot
What does GPT-4.1 nano cost?
| Input | $0.1 |
|---|---|
| Output | $0.4 |
| Cached input (read) | $0.025 |
| Cache write | — |
US dollars per million tokens. A dash means no price is published.
How much can GPT-4.1 nano read and write?
| Context window | 1,047,576 |
|---|---|
| Max output | 32,768 |
What can GPT-4.1 nano do?
| Vision (image input) | Yes |
|---|---|
| Tool calling | Yes |
| Structured output | Yes |
| Reasoning | No |
| Input | text, image |
| Output | text |
What does a request to GPT-4.1 nano cost?
| A typical request: 1,000 tokens in, 500 out | $0.0003 |
|---|---|
| A long request: 10,000 tokens in, 1,000 out | $0.0014 |
| 1,000 typical requests | $0.3 |
| 1 million tokens in and 1 million out | $0.5 |
Input read from the provider's prompt cache costs $0.025 per million tokens instead of $0.1, 75% less. A request that repeats a 1,000-token prompt from the cache costs $0.00022 instead of $0.0003.
Among 49 OpenAI models with a published price, GPT-4.1 nano is the 3rd cheapest by input price. Its context window is the 14th largest of 48. List prices only; discounts, batch prices and prices above 200K tokens are not shown.
How do I call GPT-4.1 nano through DVARA?
Configure the openai provider in the DVARA LLM Gateway and send the model id gpt-4.1-nano. DVARA, the AI governance platform, applies your policies, audit and cost attribution to the call. See LLM cost attribution and budgets.
In DVARA, if you haven't set your own price for a model, its calls are costed at the price in the catalogue that ships with your DVARA version. A price you set in Flightdeck always wins. You can switch catalogue prices off. Then a model with no price you set is counted as costing nothing. Every cost record says which price it used.
Which other OpenAI models are there?
- GPT-4.1 mini$0.4 in · $1.6 out · 1.05M context
- GPT-4o$2.5 in · $10 out · 128K context
- GPT-4.1$2 in · $8 out · 1.05M context
- GPT-4o (2024-05-13)$5 in · $15 out · 128K context
- GPT-4 Turbo$10 in · $30 out · 128K context
- GPT-4o (2024-08-06)$2.5 in · $10 out · 128K context
- GPT-4$30 in · $60 out · 8K context
- GPT-4o (2024-11-20)$2.5 in · $10 out · 128K context
- GPT-3.5-turbo$0.5 in · $1.5 out · 16K context
- GPT-4o mini$0.15 in · $0.6 out · 128K context
- GPT-5$1.25 in · $10 out · 400K context
- GPT-5 Mini$0.25 in · $2 out · 400K context
Which models from other providers are similar to GPT-4.1 nano?
These are the closest in context window and input price, one per provider.
- Gemini 2.5 Flash-LiteGoogle Gemini · $0.1 in · $0.4 out · 1.05M context
- GPT-6 Luna (Global)Amazon Bedrock · $0.1 in · $0.5 out · 1.05M context
- Qwen3.8 Omni FlashAlibaba Qwen · $0.113 in · $0.382 out · 1M context
- GLM-5.3-FlashZhipu GLM · $0.15 in · $0.5 out · 1M context
- DeepSeek V4.1 FlashDeepSeek · $0.15 in · $0.6 out · 1M context