Alibaba: qwen-turbo API
Qwen-Turbo is a high-performance, cost-effective large language model within the Tongyi Qianwen family, now fully upgraded to the Qwen2.5 architecture. It is specifically optimized for high-concurrency, low-latency scenarios such as real-time customer service, rapid document summarization, and interactive agents. Despite its fast inference speed, it supports an expansive 1-million-token context window with 100% recall accuracy on long-context tasks (Passkey Retrieval). It balances competitive logic reasoning with exceptional multilingual support and remains the primary choice for developers seeking a "Flash-style" model with deep industry integration.
- Context window: 1,000,000 tokens
- Max output: 16,384 tokens
- Input: text
- Output: text
- Reasoning: Supported
- Tool calling: Supported
- Released: 2024-11-01
- Knowledge cutoff: 2024-03-31
Frequently Asked Questions
What is the context window of qwen-turbo?
qwen-turbo supports a context window of up to 1,000,000 tokens.
Does qwen-turbo support function calling?
Yes. qwen-turbo supports tool / function calling.
Does qwen-turbo support reasoning?
Yes. qwen-turbo is a reasoning-capable model.
What is the knowledge cutoff of qwen-turbo?
The knowledge cutoff of qwen-turbo is 2024-03-31.