# Qwen3 5 4B API Pricing

As of November 7, 2026, Qwen3 5 4B costs $0.04 per 1M input tokens and $0.07 per 1M output tokens on EmpirioLabs AI, with cache reads at $0.02 per 1M tokens. It has a 262,144-token context window and returns up to 32,768 tokens per response.

- Page: https://models.litellm.ai/models/qwen3-5-4b
- Lab: Alibaba
- LiteLLM model name: `empiriolabs/qwen3-5-4b`
- Context window: 262,144 tokens
- Max output: 32,768 tokens
- Added to LiteLLM: November 4, 2026
- Prices updated: November 4, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| EmpirioLabs AI | `empiriolabs/qwen3-5-4b` | $0.04 | $0.07 | $0.02 | – | – | 256K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- EmpirioLabs AI: $0.115

100 long-document requests with 100,000 input and 2,000 output tokens each:

- EmpirioLabs AI: $0.414

## Features

Supported: Function calling, Structured output, Image input, Reasoning, Prompt caching.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="empiriolabs/qwen3-5-4b",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## Cost calculator

10,000 requests a day with 1,000 input and 500 output tokens each, at EmpirioLabs AI's price: $0.000075 per request, $0.75 per day, $22.50 per month (30 days). Try other numbers at https://models.litellm.ai/calculator?model=qwen3-5-4b

## FAQ

### How much does Qwen3 5 4B cost?

Qwen3 5 4B costs $0.04 per 1M input tokens and $0.07 per 1M output tokens on EmpirioLabs AI, with cache reads at $0.02 per 1M tokens.

### What is the context window of Qwen3 5 4B?

Qwen3 5 4B has a 262,144-token context window and returns up to 32,768 tokens per response.

### Which providers offer Qwen3 5 4B?

Qwen3 5 4B is available from EmpirioLabs AI through LiteLLM, using the model name empiriolabs/qwen3-5-4b.

### How do I call Qwen3 5 4B with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="empiriolabs/qwen3-5-4b", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does Qwen3 5 4B support?

Qwen3 5 4B supports function calling, structured output, image input, reasoning and prompt caching.

### When did LiteLLM add Qwen3 5 4B?

Qwen3 5 4B was added to LiteLLM's model price file on November 4, 2026.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change.