Alibaba Cloud: tongyi-intent-detect-v3

Price, performance, capabilities, and a ready-to-use request for 意图分类模型.

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tongyi-intent-detect-v3

AvailableAlibaba CloudChat

Input / Output: $0.0588 / $0.1471
Context: 8K
Max output: 4K
Modalities: Chat

Getting started

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

Send your first request

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

chat_completionOpenAI-compatible

POST/v1/chat/completions

curl https://api.tokenlab.sh/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-xxx" \
  -d '{
    "model": "tongyi-intent-detect-v3",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

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 $0.0588 / Output $0.1471 / Text Input $0.0588 / Text Output $0.1471
TokenLab price: Input $0.0588 / Output $0.1471 / Text Input $0.0588 / Text Output $0.1471
Discount: -

	Official pricePer 1M tokens	TokenLab pricePer 1M tokens	Discount
Default	Input $0.0588 / Output $0.1471 / Text Input $0.0588 / Text Output $0.1471	Input $0.0588 / Output $0.1471 / Text Input $0.0588 / Text Output $0.1471	-

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

Last updated Sep 17, 2026, 06:04 AM UTC

Metrics appear once privacy and data volume thresholds are met.

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

Open in Console

Open 意图分类模型 in Console with a prompt ready to edit or send.

Help me try tongyi-intent-detect-v3 with a short message at /v1/chat/completions. Show the reply, latency, and cost.

Use cases

Agents and tools

Handle reasoning, support triage, tool calls, and multi-step tasks.

Coding

Generate, review, or debug code in the tools you already use.

Knowledge assistants

Build chat, search, and retrieval with a clear price and capability profile.

Side-by-side test

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

Prompt examples

Write a concise support reply and list the assumptions behind it.

Review this API design and call out the top three integration risks.

Turn a long changelog into release notes a non-engineer would read.

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 意图分类模型 cost?

On TokenLab, 意图分类模型 costs Input $0.0588 / Output $0.1471 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.

How do I test 意图分类模型?

Open 意图分类模型 in Create. A sample for /v1/chat/completions will be ready to try.

Which endpoint should 意图分类模型 use?

Use https://api.tokenlab.sh/v1/chat/completions for 意图分类模型. The request example below shows the matching code shape.

Can I test 意图分类模型 before integrating it?

Yes. Open Console starts a ready draft for 意图分类模型 and keeps your prompt after sign-in, so you don’t lose context.

Which operations does 意图分类模型 support?

意图分类模型 supports chat_completion. Select an operation above to see its endpoint and request example.