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qwen-mt-turbo API pricing & access

qwen-mt-turbo API pricing: $0.192 per 1M tokens. Alibaba Qwen machine translation model, Turbo tier

qwen-mt-turbo API access

Alibaba Qwen machine translation model, Turbo tier

Compare supported API endpoints and capabilities, then access qwen-mt-turbo through the unified API gateway.

Category
text
Supported APIs
OpenAI Chat Completions API, Anthropic Messages API
API endpoints
POST /v1/chat/completions, POST /v1/messages

qwen-mt-turbo API pricing

Base input price
$0.192 per 1M tokens
Base output price
$0.534912 per 1M tokens

Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.

About qwen-mt-turbo

qwen-mt-turbo It is an established text-translation model whose official model card lists terminology and domain controls. Use it for comparisons and compatibility checks in existing translation workflows.

Use fixed cases for the tasks described above. Integration follows the listed endpoint, selected route parameters and current group pricing; official capabilities do not establish acceptance for every channel. Compare qwen-mt-flash.

Official reference 1, checked 2026-10-14.

Use cases and prompting

  1. Submit source text under the model’s translation contract and confirm language settings.
  2. Validate single-user-message and translation_options passthrough instead of copying multi-turn chat templates.
  3. Review terminology and domain samples for numbers, formatting and names that must remain unchanged.
  4. Check model-specific streaming assembly and compare fixed bilingual cases using actual route usage.

API documentation.

How to call qwen-mt-turbo

qwen-mt-turbo is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.

curl (OpenAI-compatible)

curl https://modelsok.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen-mt-turbo", "messages": [{"role": "user", "content": "Hello"}]}'

Python (openai SDK)

from openai import OpenAI

client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="qwen-mt-turbo",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Python (anthropic SDK)

from anthropic import Anthropic

client = Anthropic(base_url="https://modelsok.com", api_key="YOUR_API_KEY")
message = client.messages.create(
    model="qwen-mt-turbo",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)

Frequently asked questions about qwen-mt-turbo

What is qwen-mt-turbo?

Alibaba Qwen machine translation model, Turbo tier

How do I call qwen-mt-turbo?

Create an API key with access to qwen-mt-turbo, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is qwen-mt-turbo priced?

Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.

How should I evaluate qwen-mt-turbo for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.

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