GPT-4.1 nano Pricing
FastOpenAI · 1M tokens context
GPT-4.1 nano from OpenAI costs $0.100 per 1 million input tokens and $0.400 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 1,047,576-token context window (approximately 785,682 words) with a 33K-token maximum output. A typical 1,000-token request costs $0.0001 in input charges; a 10,000-token request costs $0.0010.
| Input price | $0.100 / 1M tokens |
|---|---|
| Output price | $0.400 / 1M tokens |
| Output / input ratio | 4.0× |
| Context window | 1,047,576 tokens (~785,682 words) |
| Maximum output | 32,768 tokens |
| Cost per 1K tokens (input) | $0.0001 |
| Tier | Fast |
| Last verified |
GPT-4.1 nano is OpenAI's ultra-cheap model — matching Gemini Flash pricing while packing a 1M context window. Ideal for high-volume classification and extraction at minimal cost.
Input Price
$0.100
per 1 million tokens
Output Price
$0.400
per 1 million tokens
Context Window
1M tokens
max 33K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.000133 | $0.00016 |
| 10-page document (2,500 words) | 3,333 | $0.000333 | $0.0004 |
| 1,000 lines of code | 5,000 | $0.0005 | $0.0006 |
| 100K token document | 100,000 | $0.01 | $0.012 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Ultra-cheap at $0.10/1M input
- ✓1M context window for this price class
- ✓Fast
Limitations
- –Limited capability on nuanced tasks
- –Smallest of the 4.1 family
Best Use Cases
Calculate GPT-4.1 nano Costs
Use the TokenRate calculator to convert any budget, token count, or text into exact GPT-4.1 nano costs — and compare across all models.
Open Calculator →GPT-4.1 nano — FAQ
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