# GPT-4o mini

**Current Snapshot:** gpt-4o-mini-2024-07-18

GPT-4o mini (âoâ for âomniâ) is a fast, affordable small model for focused
tasks. It accepts both text and image inputs, and produces text outputs
(including Structured Outputs). It is ideal for fine-tuning, and model outputs
from a larger model like GPT-4o can be distilled to GPT-4o-mini to produce
similar results at lower cost and latency.

## Snapshots

### gpt-4o-mini-2024-07-18

- Context window size: 128000
- Knowledge cutoff date: 2023-10-01
- Maximum output tokens: 16384
- Supported features: predicted_outputs, streaming, function_calling,
  fine_tuning, file_search, file_uploads, web_search, structured_outputs,
  image_input

### gpt-4o-mini-audio-preview-2024-12-17

- Context window size: 128000
- Knowledge cutoff date: 2023-10-01
- Maximum output tokens: 16384
- Supported features: streaming, function_calling

### gpt-4o-mini-realtime-preview-2024-12-17

- Context window size: 128000
- Knowledge cutoff date: 2023-10-01
- Maximum output tokens: 4096
- Supported features: function_calling, prompt_caching

### gpt-4o-mini-search-preview-2025-03-11

- Context window size: 128000
- Knowledge cutoff date: 2023-10-01
- Maximum output tokens: 16384
- Supported features: streaming, structured_outputs, image_input

### gpt-4o-mini-transcribe

- Context window size: 16000
- Knowledge cutoff date: 2024-06-01
- Maximum output tokens: 2000

### gpt-4o-mini-tts

## Supported Tools

- function_calling
- web_search
- file_search
- image_generation
- code_interpreter
- mcp

## Rate Limits

### gpt-4o-mini

| 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       |