Build next-gen apps with 意图分类模型
Pricing
Default
Per 1M Tokens- Official Price
- Input $0.0588 / Output $0.1471
- TokenLab Price
- Input $0.0588 / Output $0.1471
- Discount
- -
| Official PricePer 1M Tokens | TokenLab PricePer 1M Tokens | Discount | |
|---|---|---|---|
| Default | Input $0.0588 / Output $0.1471 | Input $0.0588 / Output $0.1471 | - |
One-click test
Sign in once and Web Agent keeps this model, prompt, and request preset for you.
Test tongyi-intent-detect-v3 in Web Agent with a short request at /v1/chat/completions, then show request body, latency, and response.
API workbench
The default route for production. The code sample below uses this endpoint with the format you pick.
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!"}
]
}'Use cases
Agents and tools
Drive reasoning, support triage, tool calls, and multi-step task flows.
Developer workflows
Generate, review, or debug code without rewiring your stack.
Knowledge assistants
Ship chat, search, and retrieval with predictable cost and behavior.
Side-by-side test
Compare real response quality, latency, and price for production defaults.
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.
Cost Calculator
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.
How do I call the 意图分类模型 API?
Get a TokenLab API key, then send your request to https://api.tokenlab.sh/v1/chat/completions. The API workbench above has a recommended endpoint and copy-ready code.
Which endpoint should 意图分类模型 use?
Use https://api.tokenlab.sh/v1/chat/completions as the default for 意图分类模型. If a provider-native format is supported, the API workbench shows that endpoint too.
Can I test 意图分类模型 before integrating it?
Yes. Try in Web Agent opens a ready test 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 Text to text. Pick an operation in the API workbench above to see the matching endpoint and code sample.
