# Qwen3 14B API Pricing

As of October 10, 2026, Qwen3 14B costs $0.08 per 1M input tokens and $0.24 per 1M output tokens from Nebius AI Studio, the lowest of 4 providers. It has a 32,768-token context window and returns up to 32,768 tokens per response.

- Page: https://models.litellm.ai/models/qwen3-14b
- Lab: Alibaba
- LiteLLM model name: `nebius/Qwen/Qwen3-14B`
- Context window: 32,768 tokens
- Max output: 32,768 tokens
- Added to LiteLLM: July 2025
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Nebius AI Studio | `nebius/Qwen/Qwen3-14B` | $0.08 | $0.24 | – | – | – | 32K |
| DeepInfra | `deepinfra/Qwen/Qwen3-14B` | $0.12 | $0.24 | – | – | – | 40K |
| Fireworks AI | `fireworks_ai/accounts/fireworks/models/qwen3-14b` | $0.20 | $0.20 | – | – | – | 40K |
| Vercel AI Gateway | `vercel_ai_gateway/alibaba/qwen-3-14b` | $0.08 | $0.24 | – | – | – | 40K |

## Cost examples

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

- Nebius AI Studio: $0.28
- Vercel AI Gateway: $0.28
- DeepInfra: $0.36
- Fireworks AI: $0.50

## Features

Supported: Function calling.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="nebius/Qwen/Qwen3-14B",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Qwen3 14B cost?

Qwen3 14B costs $0.08 per 1M input tokens and $0.24 per 1M output tokens from Nebius AI Studio, the lowest of 4 providers.

### What is the context window of Qwen3 14B?

Qwen3 14B has a 32,768-token context window and returns up to 32,768 tokens per response.

### Which providers offer Qwen3 14B?

Qwen3 14B is available from 4 providers through LiteLLM: Nebius AI Studio, DeepInfra, Fireworks AI and Vercel AI Gateway. The lowest price is on Nebius AI Studio.

### How do I call Qwen3 14B with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="nebius/Qwen/Qwen3-14B", 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 14B support?

Qwen3 14B supports function calling.

### When did LiteLLM add Qwen3 14B?

Qwen3 14B was added to LiteLLM's model price file in July 2025.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json