# Qwen3 Embedding 8B API Pricing

As of October 10, 2026, Qwen3 Embedding 8B costs $0.01 per 1M input tokens from Nebius AI Studio, the lowest of 5 providers. It has a 40,960-token context window and returns up to 40,960 tokens per response.

- Page: https://models.litellm.ai/models/qwen3-embedding-8b
- Lab: Alibaba
- LiteLLM model name: `nebius/Qwen/Qwen3-Embedding-8B`
- Context window: 40,960 tokens
- Max output: 40,960 tokens
- Added to LiteLLM: December 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-Embedding-8B` | $0.01 | $0 | – | – | – | 40K |
| Fireworks AI | `fireworks_ai/accounts/fireworks/models/qwen3-embedding-8b` | $0.10 | $0 | – | – | – | 40K |
| LlamaGate | `llamagate/qwen3-embedding-8b` | $0.02 | $0 | – | – | – | 40K |
| Novita AI | `novita/qwen/qwen3-embedding-8b` | $0.07 | $0 | – | – | – | 32K |
| Scaleway | `scaleway/qwen/qwen3-embedding-8b` | $0.10 | $0 | – | – | – | – |

## Cost examples

Embedding 10,000 documents of 500 tokens each:

- Nebius AI Studio: $0.05
- LlamaGate: $0.10
- Novita AI: $0.35
- Fireworks AI: $0.50

## Use it with LiteLLM

```python
from litellm import embedding

response = embedding(
    model="nebius/Qwen/Qwen3-Embedding-8B",
    input=["hello world"],
)
```

## FAQ

### How much does Qwen3 Embedding 8B cost?

Qwen3 Embedding 8B costs $0.01 per 1M input tokens from Nebius AI Studio, the lowest of 5 providers.

### What is the context window of Qwen3 Embedding 8B?

Qwen3 Embedding 8B has a 40,960-token context window and returns up to 40,960 tokens per response.

### Which providers offer Qwen3 Embedding 8B?

Qwen3 Embedding 8B is available from 5 providers through LiteLLM: Nebius AI Studio, Fireworks AI, LlamaGate, Novita AI and Scaleway. The lowest price is on Nebius AI Studio.

### How do I call Qwen3 Embedding 8B with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="nebius/Qwen/Qwen3-Embedding-8B", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/embeddings from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### When did LiteLLM add Qwen3 Embedding 8B?

Qwen3 Embedding 8B was added to LiteLLM's model price file in December 2025.

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