Qwen-MT-Lite

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Overview

Qwen-MT-Lite is a large language model of the Qwen model series that specializes in multi-lingual translation. It provides high-quality and rapid translation services across 32 languages at a cost-effective price. It offers features such as terminology intervention, format preservation, and domain-specific translation to cater to the diverse needs of various applications, ensuring both efficiency and performance.

Input

Text

Output

Text

Features

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

Asynchronously process requests in batches to reduce costs.View docs

Web Search

Enable web search so the model can answer with real-time retrieved data.View docs

Fine-tuning

Train models on sample data to better adapt them to specific tasks.View docs

Pricing

  • Input
    $0.12Per 1M tokens
  • Output
    $0.36Per 1M tokens

Rate Limits & Context

  • Max Input
    8K
  • Max Output
    8K
  • Context
    16K
  • TPMTokens Per Minute
    100K
  • RPMRequests Per Minute
    60