Add dodcs for gpt-4.5-mini

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Sameer Kankute 2026-03-17 22:49:44 +05:30
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---
slug: gpt_5_4_mini_nano
title: "Day 0 Support: GPT-5.4-mini and GPT-5.4-nano"
date: 2026-03-17T10:00:00
authors:
- name: Sameer Kankute
title: SWE @ LiteLLM (LLM Translation)
url: https://www.linkedin.com/in/sameer-kankute/
image_url: https://pbs.twimg.com/profile_images/2001352686994907136/ONgNuSk5_400x400.jpg
- name: Krrish Dholakia
title: "CEO, LiteLLM"
url: https://www.linkedin.com/in/krish-d/
image_url: https://pbs.twimg.com/profile_images/1298587542745358340/DZv3Oj-h_400x400.jpg
- name: Ishaan Jaff
title: "CTO, LiteLLM"
url: https://www.linkedin.com/in/reffajnaahsi/
image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg
description: "GPT-5.4-mini and GPT-5.4-nano model support in LiteLLM"
tags: [openai, gpt-5.4-mini, gpt-5.4-nano, completion]
hide_table_of_contents: false
---
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
LiteLLM now supports GPT-5.4-mini and GPT-5.4-nano — cost-effective models for simple completions and high-throughput workloads.
:::note
If you're on **v1.82.3-stable** or above, you don't need any update to use these models.
:::
## Usage
<Tabs>
<TabItem value="proxy" label="LiteLLM Proxy">
**1. Setup config.yaml**
```yaml
model_list:
- model_name: gpt-5.4-mini
litellm_params:
model: openai/gpt-5.4-mini
api_key: os.environ/OPENAI_API_KEY
- model_name: gpt-5.4-nano
litellm_params:
model: openai/gpt-5.4-nano
api_key: os.environ/OPENAI_API_KEY
```
**2. Start the proxy**
```bash
litellm --config /path/to/config.yaml
```
**3. Test it**
```bash
# GPT-5.4-mini
curl -X POST "http://localhost:4000/v1/chat/completions" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $LITELLM_KEY" \
-d '{
"model": "gpt-5.4-mini",
"messages": [{"role": "user", "content": "What is the capital of France?"}]
}'
# GPT-5.4-nano
curl -X POST "http://localhost:4000/v1/chat/completions" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $LITELLM_KEY" \
-d '{
"model": "gpt-5.4-nano",
"messages": [{"role": "user", "content": "What is 2 + 2?"}]
}'
```
</TabItem>
<TabItem value="sdk" label="LiteLLM SDK">
```python
from litellm import completion
# GPT-5.4-mini
response = completion(
model="openai/gpt-5.4-mini",
messages=[{"role": "user", "content": "What is the capital of France?"}],
)
print(response.choices[0].message.content)
# GPT-5.4-nano
response = completion(
model="openai/gpt-5.4-nano",
messages=[{"role": "user", "content": "What is 2 + 2?"}],
)
print(response.choices[0].message.content)
```
</TabItem>
</Tabs>
## Notes
- Both models support function calling, vision, and tool-use — see the [OpenAI provider docs](../../docs/providers/openai) for advanced usage.
- GPT-5.4-nano is the most cost-effective option for simple tasks; GPT-5.4-mini offers a balance of speed and capability.