# GPT-4.1 nano

**Current Snapshot:** gpt-4.1-nano-2025-04-14

GPT-4.1 nano excels at instruction following and tool calling. It features a 1M
token context window, and low latency without a reasoning step.

Note that we recommend starting with [GPT-5 nano](/docs/models/gpt-5-nano) for
more complex tasks.

## Snapshots

### gpt-4.1-nano-2025-04-14

- Context window size: 1047576
- Knowledge cutoff date: 2024-06-01
- Maximum output tokens: 32768
- Supported features: predicted_outputs, streaming, function_calling,
  file_search, file_uploads, structured_outputs, image_input, prompt_caching,
  fine_tuning

## Supported Tools

- function_calling
- file_search
- image_generation
- code_interpreter
- mcp

## Rate Limits

### Standard

| Tier   | RPM   | TPM       | Batch Queue Limit |
| ------ | ----- | --------- | ----------------- |
| free   | 3     | 40000     |                   |
| tier_1 | 500   | 200000    | 2000000           |
| tier_2 | 5000  | 2000000   | 20000000          |
| tier_3 | 5000  | 4000000   | 40000000          |
| tier_4 | 10000 | 10000000  | 1000000000        |
| tier_5 | 30000 | 150000000 | 15000000000       |

### Long Context (> 128k input tokens)

| Tier   | RPM  | TPM      | Batch Queue Limit |
| ------ | ---- | -------- | ----------------- |
| tier_1 | 200  | 400000   | 5000000           |
| tier_2 | 500  | 1000000  | 40000000          |
| tier_3 | 1000 | 2000000  | 80000000          |
| tier_4 | 2000 | 10000000 | 200000000         |
| tier_5 | 8000 | 20000000 | 2000000000        |