Alibaba Cloud: Tongyi Xiaomi Conversation Analysis Pro
tongyi-xiaomi-analysis-pro- Input / Output
- $0.1471 / $0.3971
- Context
- 29K
- Max output
- 4K
- Modalities
- Chat
About Tongyi Xiaomi Conversation Analysis Pro
Tongyi Xiaomi Analysis Pro is the stronger of Alibaba's two conversation-analysis models for Chinese customer-service dialogue. Alibaba built it for complex business rules, nested conditions and contextual dependencies, such as detailed quality review and understanding a customer's issue across many turns. It trades the speed of the Flash tier for higher accuracy on harder checks.
Where it works well
- Applies rules with nested conditions to a conversation, as in detailed quality inspection.
- Follows a customer's issue across several turns and resolves what later messages refer to.
- Reads sentiment and complaint signals in regulated settings such as finance and healthcare.
- Gives deeper semantic understanding than Flash, per Alibaba's description.
When to choose another model
- It supports Chinese dialogues only, according to Alibaba's documentation.
- It is slower and costlier to run than the Flash tier, which handles simple extraction well.
- It is not a general assistant; writing, coding and open Q&A belong to other models.
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.
Text to textMessages APIPOST/v1/messagesAPI format:curl https://api.tokenlab.sh/v1/messages \ -H "Content-Type: application/json" \ -H "x-api-key: sk-xxx" \ -H "anthropic-version: 2023-06-01" \ -d '{ "model": "tongyi-xiaomi-analysis-pro", "max_tokens": 1024, "messages": [ {"role": "user", "content": "Hello!"} ] }'
Pricing
The Verified price applies to Verified, which costs less on most models. The Official price is the model maker's published price and applies to the more reliable Official route. Auto bills the route that completes the request.
Default
per 1M tokens- Official price
- Input $0.1471 / Output $0.3971 / Text Input $0.1471 / Text Output $0.3971
- Verified price
- —
- Discount
- —
| Official priceper 1M tokens | Verified priceper 1M tokens | Discount | |
|---|---|---|---|
| Default | Input $0.1471 / Output $0.3971 / Text Input $0.1471 / Text Output $0.3971 | — | — |
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- Requests
- Success rate
- P95 latency
- Total tokens
Data is based on aggregate user requests, excluding status checks.
Open in Console
Open Tongyi Xiaomi Conversation Analysis Pro in Console with a prompt ready to edit or send.
Help me try tongyi-xiaomi-analysis-pro with a short message at /v1/messages. Show the reply, latency, and cost.
Use cases
Quality inspection
Score a call against a checklist where some items apply only if earlier conditions hold, such as a refund promise requiring approval.
Complaint detection
Spot unhappy customers and the cause in long, multi-turn exchanges, then flag them for follow-up.
Compliance review
Check regulated conversations for required disclosures and forbidden claims, with the supporting lines quoted.
Post-sales analysis
Work out why a customer returned or cancelled by reading the whole conversation, not one message.
Prompt examples
Review this Chinese service call. If the customer asked for a refund, check whether the agent offered the approval process, and quote the line.
Summarize the customer's actual problem across the whole dialogue, including what changed after the third reply.
Mark each of these 12 compliance items as met, not met or not applicable, with evidence.
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
What is Tongyi Xiaomi Analysis Pro for?
Hard conversation-analysis jobs on Chinese customer-service data: multi-condition quality checks, multi-turn understanding and complaint analysis. It is the higher-accuracy tier of the pair, built for difficult rules.
When should I use Pro rather than Flash?
Use Pro when rules have nested conditions or the answer depends on context spread over many turns. Flash is enough for field extraction and basic classification, and it responds faster.
Does it support languages other than Chinese?
Alibaba documents Chinese dialogues only for this service, so use a general multilingual model for other languages, and keep this model for Chinese call and chat data.
Is it a chat model?
No. It analyzes conversations and returns structured judgments rather than chatting. Use a general model for customer-facing replies, and send this one the transcripts to be reviewed afterwards.
Does it support thinking mode or tools?
The catalog lists thinking as available and tool calling as unsupported. Put your rules and the output format in the prompt, and validate the result in your own code.
How much does Tongyi Xiaomi Conversation Analysis Pro cost?
On TokenLab, Tongyi Xiaomi Conversation Analysis Pro costs Input $0.1471 / Output $0.3971 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 are the context window and output limit of Tongyi Xiaomi Conversation Analysis Pro?
Tongyi Xiaomi Conversation Analysis Pro accepts up to 28,672 tokens of context and returns up to 4,096 tokens in one response.
Which endpoint should Tongyi Xiaomi Conversation Analysis Pro use?
Use https://api.tokenlab.sh/v1/messages for Tongyi Xiaomi Conversation Analysis Pro. The request example below shows the matching code shape.
Which operations does Tongyi Xiaomi Conversation Analysis Pro support?
Tongyi Xiaomi Conversation Analysis Pro supports Text to text. Select an operation above to see its endpoint and request example.
Compare Tongyi Xiaomi Conversation Analysis Pro
Sources
Reviewed Oct 2, 2026