qwen-mt-flash

apache-2.0

Qwen3-MT is a flagship Large Language Model (LLM) for translation and a comprehensive upgrade of Qwen 3. It supports translation between 92 languages, including Chinese, English, Japanese, Korean, French, Spanish, German, Thai, Indonesian, Vietnamese, and Arabic. The model's performance and translation quality are significantly improved. It provides enhanced stability for terminology customization, format preservation, and domain-specific prompting, resulting in more accurate and natural translations. Usage #### International If you select the International deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. Supported region: Singapore.

Context
16K
Input price
$0.16/1M tokens
Output price
$0.49/1M tokens

Capabilities

Reasoning & Interaction
Reasoning
Tool Calling
Output Control
Structured Output
JSON Mode
Infrastructure
Streaming
Batch Processing
Fine-tuning

Details

Provider Qwen
Creator qwen
Familyqwen
Licenseapache-2.0
Status—
Typechat
Input modalitiestext
Output modalitiestext
Open weightYes
Parameters—
Architecture—
Context window16K tokens
Max input—
Max output—
Reasoning tokensYes
Knowledge cutoff—
Release date—
Sourceofficial

Tools

Function Callingfunction_calling
Call external functions and APIs

Endpoints

chatPOST
https://dashscope-intl.aliyuncs.com/compatible-mode/chat

Pricing

Input
$0.16
Output
$0.49
Cache write
—
Cache read
—
Batch in
—
Batch out
—

Family Comparison: qwen

ModelContextMax outPricing
qwen-audio-3.0-asr-flash-filetrans———
qwen-audio-3.0-asr-flash-streaming———
qwen-audio-3.0-asr-flash———
qwen-audio-3.0-realtime-flash———
qwen-audio-3.0-realtime-plus———
qwen-audio-3.0-tts-flash———
qwen-audio-3.0-tts-plus———
qwen-audio-3.1-asr-flash-filetrans———
qwen-audio-3.1-asr-flash-message———
qwen-audio-3.1-asr-flash-streaming———
qwen-audio-3.1-asr-flash———
qwen-audio-3.1-realtime-flash———
qwen-audio-3.1-realtime-plus———
qwen-audio-3.1-tts-flash———
qwen-audio-3.1-tts-next———
qwen-audio-3.1-tts-plus———
qwen-coder-plus-1106———
qwen-coder-plus———
qwen-coder-turbo-0919———
qwen-coder-turbo———
qwen-flash-character8K——
qwen-flash1M33K—
qwen-image-2.0-pro—6—
qwen-image-2.0—6—
qwen-image-2.1-pro———
qwen-image-2.1-turbo———
qwen-image-2———
qwen-image-3.0-pro—6—
qwen-image-3.0—6—
qwen-image-edit-max—6—
qwen-image-edit-plus—6—
qwen-image-edit—1—
qwen-image-max—1—
qwen-image-plus—1—
qwen-image—1—
qwen-long-0125———
qwen-long10M——
qwen-math-plus-0816———
qwen-math-plus-0919———
qwen-math-turbo-0919———
qwen-max-0919———
qwen-max128K——
qwen-mt-image-2.0———
qwen-mt-image———
qwen-omni-turbo-0119———
qwen-omni-turbo-0326———
qwen-omni-turbo-realtime———
qwen-omni-turbo32K——
qwen-plus-0125———
qwen-plus-0428———
qwen-plus-0714———
qwen-plus-0728———
qwen-plus-us———
qwen-plus1M——
qwen-tts-realtime———
qwen-tts———
qwen-turbo-0428———
qwen-turbo-0715———
qwen-turbo-1101———
qwen-turbo1M——
qwen-vl-max-0125———
qwen-vl-max-0402———
qwen-vl-max-0408———
qwen-vl-max-0813———
qwen-vl-max-1119———
qwen-vl-max-1230———
qwen-vl-ocr-0413———
qwen-vl-ocr-0828———
qwen-vl-ocr-1028———
qwen-vl-ocr-1120———
qwen-vl-plus-0102———
qwen-vl-plus-0125———
qwen-vl-plus-0507———
qwen-vl-plus-0710———
qwen-vl-plus-0815———
qwen-voice-design———
qwen-voice-enrollment———
qwen-deep-research1M33K$0.01$0.02
qwen-vl-ocr38K8K$0.07$0.16
qwen-doc-turbo262K33K$0.09$0.14
qwen-mt-lite16K—$0.12$0.36
qwen-mt-flash16K—$0.16$0.49
qwen-mt-turbo16K—$0.16$0.49
qwen-math-turbo——$0.29$0.86
qwen-plus-character-ja32K512$0.5$1.4
qwen-plus-character32K4K$0.5$1.4
qwen-math-plus4K3K$0.57$1.72
qwen-mt-plus16K8K$2.46$7.37

API

GET/v1/models/qwen/qwen-mt-flash