# Tongyi: Embedding Vision Flash

## Facts

- Model name: tongyi-embedding-vision-flash
- Maker: Alibaba
- Context window: 1,024 tokens
- Input price: $0.090 per million tokens
- Providers: 1 independent provider
- Regions: global

## Providers

- [EmpirioLabs AI](https://liquidinference.ai/providers/4f49f07c-0d26-44bd-88a8-34f3f5fbd3b7.md): global, $0.090 input per million tokens, 1,024 tokens of context

## Scores

- HLE: 34.5, #70 of 273
- GPQA: 91.3, #32 of 250
- AA-LCR: 81.3, #31 of 237
- SciCode: 49.7, #61 of 123
- SimpleQA Verified: 20.3, #93 of 126

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Scores: Epoch AI, 'Capabilities & Benchmarking' (https://epoch.ai/benchmarks)

## Request

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

## Questions

### What is Tongyi: Embedding Vision Flash?

Tongyi: Embedding Vision Flash is a model from Alibaba.

### What is the context length of Tongyi: Embedding Vision Flash?

The largest offer takes 1,024 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Tongyi: Embedding Vision Flash do?

Its providers list Text.

### What inputs and outputs does Tongyi: Embedding Vision Flash support?

Text → Text · Embeddings.

### Which providers serve Tongyi: Embedding Vision Flash?

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 Tongyi: Embedding Vision Flash?

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

### When was Tongyi: Embedding Vision Flash listed?

The exchange first listed it on 10/20/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/tongyi-embedding-vision-flash)
- [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 V3](https://liquidinference.ai/models/text-embedding-v3.md)
- [Text: Embedding V4](https://liquidinference.ai/models/text-embedding-v4.md)
- [Tongyi: Embedding Vision Plus](https://liquidinference.ai/models/tongyi-embedding-vision-plus.md)
- [Set up a client](https://liquidinference.ai/connect/tongyi-embedding-vision-flash)
- [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)