# Text: Embedding V3

## Facts

- Model name: text-embedding-v3
- Maker: Alibaba
- Context window: 8,192 tokens
- Input price: $0.070 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.070 input per million tokens, 8,192 tokens of context

## Request

```sh
curl https://router.inference.ai.exchange/v1/embeddings \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-v3",
    "input": ["a cat on a bicycle"]
  }'
```

## Questions

### What is Text: Embedding V3?

Text: Embedding V3 is a model from Alibaba.

### What is the context length of Text: Embedding V3?

The largest offer takes 8,192 input tokens. One job can generate up to 1 tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Text: Embedding V3 do?

Its providers list Text.

### What inputs and outputs does Text: Embedding V3 support?

Text → Text · Embeddings.

### Which providers serve Text: Embedding V3?

1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.

### How do I call Text: Embedding V3?

Send "text-embedding-v3" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Text: Embedding V3 listed?

The exchange first listed it on 10/16/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/text-embedding-v3)
- [Qwen: Text Embedding V3](https://liquidinference.ai/models/qwen-text-embedding-v3.md)
- [Qwen: Text Embedding V4](https://liquidinference.ai/models/qwen-text-embedding-v4.md)
- [Text: Embedding V4](https://liquidinference.ai/models/text-embedding-v4.md)
- [Tongyi: Embedding Vision Flash](https://liquidinference.ai/models/tongyi-embedding-vision-flash.md)
- [Tongyi: Embedding Vision Plus](https://liquidinference.ai/models/tongyi-embedding-vision-plus.md)
- [Set up a client](https://liquidinference.ai/connect/text-embedding-v3)
- [All models](https://liquidinference.ai/models)
- [Providers](https://liquidinference.ai/providers.md)
- [Discover the best model for your budget](https://liquidinference.ai/discover)
- [Quickstart](https://liquidinference.ai/docs/quickstart.md)
- [llms.txt: the index of every page, as Markdown](https://liquidinference.ai/llms.txt)
- [llms-full.txt: every page in one file](https://liquidinference.ai/llms-full.txt)