Qwen Flash
Chatbailian/qwen-flashAlibaba Qwen Flash via Dashscope. Ultra-fast inference for latency-sensitive tasks. Lowest cost option in the Qwen family.
1M context window
32K max output tokens
Released: 2025-07-28
Supported Protocols:openaianthropic
Available Providers:Aliyun
Capabilities:Function CallingPrompt CachingWeb Search
Pricing
| Type | Price |
|---|---|
| Input Tokens | $0.022/M |
| Output Tokens | $0.22/M |
| Cache Read | $0.0043/M |
| Cache Write | $0.027/M |
| Web Search | $0.01/R |
Code Examples
from openai import OpenAIclient = OpenAI(base_url="https://api.ofox.ai/v1",api_key="YOUR_OFOX_API_KEY",)response = client.chat.completions.create(model="bailian/qwen-flash",messages=[{"role": "user", "content": "Hello!"}],)print(response.choices[0].message.content)
Related Models
Frequently Asked Questions
Qwen Flash on Ofox.ai costs $0.022/M per million input tokens and $0.22/M per million output tokens. Pay-as-you-go, no monthly fees.
Qwen Flash supports a context window of 1M tokens with max output of 32K tokens, allowing you to process large documents and maintain long conversations.
Simply set your base URL to https://api.ofox.ai/v1 and use your Ofox API key. The API is OpenAI-compatible โ just change the base URL and API key in your existing code.
Qwen Flash supports the following capabilities: Function Calling, Prompt Caching, Web Search. Access all features through the Ofox.ai unified API.