tbuy
qwen-mt-lite API pricing & access
qwen-mt-lite API pricing: $0.09 per 1M tokens. Alibaba Qwen machine translation model, Lite tier
qwen-mt-lite API access
Alibaba Qwen machine translation model, Lite tier
Compare supported API endpoints and capabilities, then access qwen-mt-lite 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-lite API pricing
- Base input price
- $0.09 per 1M tokens
- Base output price
- $0.23 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-lite
qwen-mt-lite It targets simple latency-sensitive translation with a language range different from Plus and Flash. Evaluate short messages and live comments.
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
- Submit source text under the model’s translation contract and confirm language settings.
- Validate single-user-message and translation_options passthrough instead of copying multi-turn chat templates.
- Review terminology and domain samples for numbers, formatting and names that must remain unchanged.
- Check model-specific streaming assembly and compare fixed bilingual cases using actual route usage.
How to call qwen-mt-lite
qwen-mt-lite 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-lite", "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-lite",
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-lite",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)Related pages
Frequently asked questions about qwen-mt-lite
What is qwen-mt-lite?
Alibaba Qwen machine translation model, Lite tier
How do I call qwen-mt-lite?
Create an API key with access to qwen-mt-lite, 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-lite 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-lite for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.