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const axios = require('axios');
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/qwen-flash";
const data = {
"messages": [
{
"role": "user",
"content" : "tell me a joke on cats"
},
{
"role": "assistant",
"content" : "here is a joke about cats..."
},
{
"role": "user",
"content" : "now a joke on dogs"
},
]
};
(async function() {
try {
const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
})();Attributes
An array of objects containing the role and content
Could be "user", "assistant" or "system".
A string containing the user's query or the assistant's response.
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
Qwen Flash — Ultra-Fast, Low-Cost Language Model API
What is Qwen Flash?
Qwen Flash is Alibaba Cloud's fastest and most cost-efficient large language model, engineered for high-volume, latency-sensitive AI applications. It is the lightest model in the Qwen series, offering a remarkable 1,000,000 token (1M) context window at the lowest price point in the lineup. Designed for teams that prioritize throughput, speed, and cost control, Qwen Flash is the practical choice for production workloads where response time and budget efficiency matter most. It is available via an OpenAI-compatible API, making integration into existing pipelines straightforward.
Key Features
- 1M Token Context Window: Handle extremely long documents, entire conversation histories, or large knowledge bases in a single API call.
- Lowest Cost in the Qwen Series: Ultra-competitive token pricing with tiered rates — ideal for high-volume and batch workloads.
- Low Latency: Optimized for fast time-to-first-token, making it suitable for real-time applications.
- OpenAI-Compatible API: Drop-in replacement with standard Chat Completion interface.
- Thinking / Non-Thinking Modes: Optional chain-of-thought reasoning via
enable_thinkingparameter. - Batch Processing Discount: Batch API calls available at half price in select regions, reducing costs further.
Best Use Cases
Qwen Flash is purpose-built for scenarios where speed and cost dominate over maximum reasoning depth. Top use cases include:
- High-volume chatbots — customer support, FAQ bots, and triage systems processing thousands of requests per hour
- Quick summarization — news feeds, email digests, document triage
- Text classification and labeling — categorize, tag, or route large volumes of text at scale
- Simple extraction — pull names, dates, or key facts from documents
- Content moderation — screen large volumes of user-generated content
- RAG pipelines at scale — its 1M context handles large retrieved document sets economically
Prompt Tips and Output Quality
For best performance with Qwen Flash: (1) Keep prompts concise and direct — the model is optimized for quick, clear tasks rather than deeply ambiguous reasoning. (2) Specify output format explicitly (JSON, bullet points, plain text) to get consistent structured results. (3) For classification tasks, provide explicit label options in the prompt. (4) Avoid complex multi-step chains in a single prompt; break tasks into smaller calls if needed. (5) Use batch mode (available in select regions) for offline processing to maximize cost savings.
FAQs
Q: How does Qwen Flash differ from Qwen Plus and Qwen Max? Qwen Flash is the fastest and cheapest model in the Qwen series, optimized for simple tasks and high-volume workloads. Qwen Plus offers higher quality for moderately complex tasks, while Qwen Max delivers maximum capability for demanding reasoning tasks.
Q: Does Qwen Flash support function calling?
Yes, via the OpenAI-compatible tool_calls API. It handles structured function call requests, though complex multi-step tool chains are better suited for Qwen Plus or Max.
Q: What is the maximum context length? Qwen Flash supports up to 1,000,000 tokens input context with up to 32,768 tokens of output per response.
Q: Is Qwen Flash suitable for production real-time applications? Yes — it is specifically optimized for low-latency responses, making it one of the best choices for real-time customer-facing applications.
Q: Are there any free tier options? New Alibaba Cloud Model Studio activations receive 1 million free tokens (90-day validity). Commercial usage beyond that is billed per the tiered pricing structure.
Q: Can Qwen Flash handle reasoning tasks? It supports basic reasoning well. For complex multi-step reasoning, math, or logic-heavy tasks, enabling thinking mode or upgrading to Qwen Plus is recommended.
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