Alibaba Cloud: tongyi-embedding-vision-plus

Price, performance, capabilities, and a ready-to-use request for 通义多模态向量.
Compare models
tongyi-embedding-vision-plus
AvailableAlibaba CloudEmbeddingSync
Input / Output
$0.0735 / $0.00
Modalities
EmbeddingVision

Getting started

  1. Create API key

    Create a key in Console, then use it with every model on the platform.

  2. Send your first request

    Copy the example for your language and run it against the endpoint.

    Multimodal EmbeddingTokenLab endpoint
    POST/v1/multimodal/embeddings
    curl -X POST "https://api.tokenlab.sh/v1/multimodal/embeddings" \
      -H "Authorization: Bearer sk-xxx" \
      -H "Content-Type: application/json" \
      -d '{
      "model": "tongyi-embedding-vision-plus",
      "input": {
        "text": "The quick brown fox jumps over the lazy dog."
      }
    }'

Pricing

Official price is the model maker's public baseline. TokenLab price is what you pay for this model on TokenLab.

Default

Per 1M tokens
Official price
Input $0.0735 / Text Input $0.0735 / Image Input $0.0735
TokenLab price
Input $0.0735 / Text Input $0.0735 / Image Input $0.0735
Discount
-

Display Base Rates

Per 1M tokens
Official price
Output $0.00
TokenLab price
Output $0.00
Discount
-

Usage & activity

Success rate is the share of requests that completed. Latency is how long a full response takes; P95 means 95% of requests finished within that time.

Usage & availability

Last 24 hours

No data yet

Model performance
Metrics appear once privacy and data volume thresholds are met.

Data is based on aggregate user requests, excluding status checks.

Open in Console

Open 通义多模态向量 in Console with a prompt ready to edit or send.

Help me try tongyi-embedding-vision-plus with multimodal-embedding at /v1/multimodal/embeddings. Show the result and cost.

Use cases

Best for

Vision

Reading images, parsing documents, and answering visual questions

01

Semantic search

Build vector representations for search, recommendations, clustering, and RAG.

02

Side-by-side test

Compare response quality, latency, and price side by side.

Prompt examples

Embed five product FAQ snippets and explain the response shape.

Send the smallest possible request and show me the result and cost.

Compare this model with a cheaper one in the same category — when is each worth it?

This model has conditional pricing. Monthly token totals alone cannot produce a reliable estimate; use the detailed pricing for the request specification, cache, and applicable time window.

FAQ

How much does 通义多模态向量 cost?

On TokenLab, 通义多模态向量 costs Input $0.0735 / Output $0.00 Per 1M tokens. The pricing table above shows the full breakdown. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.

What is 通义多模态向量 best for?

通义多模态向量 supports Vision. You can open it directly in Create.

How do I test 通义多模态向量?

Open 通义多模态向量 in Create. A sample for /v1/multimodal/embeddings will be ready to try.

Which endpoint should 通义多模态向量 use?

Use https://api.tokenlab.sh/v1/multimodal/embeddings for 通义多模态向量. The request example below shows the matching code shape.

Can I test 通义多模态向量 before integrating it?

Yes. Open Console starts a ready draft for 通义多模态向量 and keeps your prompt after sign-in, so you don’t lose context.

Which operations does 通义多模态向量 support?

通义多模态向量 supports Multimodal Embedding. Select an operation above to see its endpoint and request example.

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