tbuy
qwen-mt-flash API pricing & access
qwen-mt-flash API pricing: $0.1 per 1M tokens. Alibaba Qwen machine translation model, Flash tier
qwen-mt-flash API access
Alibaba Qwen machine translation model, Flash tier
Compare supported API endpoints and capabilities, then access qwen-mt-flash 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-flash API pricing
- Base input price
- $0.1 per 1M tokens
- Base output price
- $0.1 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-flash
qwen-mt-flash Evaluate single-turn translation of website copy, product descriptions and daily communication; incremental streaming is documented.
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-plus.
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-flash
qwen-mt-flash 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-flash", "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-flash",
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-flash",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)Related pages
Frequently asked questions about qwen-mt-flash
What is qwen-mt-flash?
Alibaba Qwen machine translation model, Flash tier
How do I call qwen-mt-flash?
Create an API key with access to qwen-mt-flash, 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-flash 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-flash for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.