Text: Embedding V4
Facts
- Model name
- text-embedding-v4
- Maker
- Alibaba
- Context window
- 8,192 tokens
- Input price
- $0.070 per million tokens
- Providers
- 1 independent provider
- Regions
- global
Providers
- EmpirioLabs AI: global, $0.070 input per million tokens, 8,192 tokens of context
Scores
- HLE: 38.6, #54 of 273
- GPQA: 90.8, #36 of 250
- AA-LCR: 79.7, #47 of 237
- SciCode: 50.3, #55 of 123
- SimpleQA Verified: 47.0, #33 of 126
Scores: Artificial Analysis (https://artificialanalysis.ai/)
Scores: Epoch AI, 'Capabilities & Benchmarking' (https://epoch.ai/benchmarks)
Request
curl https://router.inference.ai.exchange/v1/embeddings \
-H "Authorization: Bearer $LIQUID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "text-embedding-v4",
"input": ["a cat on a bicycle"]
}'Questions
- What is Text: Embedding V4?
- Text: Embedding V4 is a model from Alibaba.
- What is the context length of Text: Embedding V4?
- The largest offer takes 8,192 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
- What can Text: Embedding V4 do?
- Its providers list Text.
- What inputs and outputs does Text: Embedding V4 support?
- Text → Text · Embeddings.
- Which providers serve Text: Embedding V4?
- 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 V4?
- Send "text-embedding-v4" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
- When was Text: Embedding V4 listed?
- The exchange first listed it on 10/16/2026. This is not its release date.
Related pages
- Qwen: Text Embedding V3
- Qwen: Text Embedding V4
- Text: Embedding V3
- Tongyi: Embedding Vision Flash
- Tongyi: Embedding Vision Plus
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- Quickstart
- llms.txt: the index of every page, as Markdown
- llms-full.txt: every page in one file
- This page as Markdown