Qwen2.5-Turbo: Advanced Language Model
Product Introduction
Qwen2.5-Turbo is an innovative language model developed by Alibaba's team, specifically designed for efficient long text processing. It boasts a remarkable capability to support a context length of up to 1 million tokens, making it an excellent solution for developers, data scientists, and enterprises dealing with extensive text data.
Key Features
- Supports a context length of up to 1 million tokens, equivalent to approximately 1 million English words or 1.5 million Chinese characters.
- Achieved 100% accuracy in the 1M-token Passkey Retrieval task, demonstrating its reliability.
- Scored 93.1 in the RULER long text evaluation benchmarks, outperforming competitors like GPT-4.
- Integrates sparse attention mechanisms, significantly reducing the time to generate the first token from 4.9 minutes to just 68 seconds.
- Highly competitive processing cost at only 0.3 yuan per million tokens, offering exceptional cost-effectiveness.
Maintains high performance in short text processing, comparable to GPT-4o-mini.
Product Data
- Context Length: Up to 1 million tokens
- Accuracy: 100% in 1M-token Passkey Retrieval
- RULER Benchmark Score: 93.1
- Processing Cost: 0.3 yuan per million tokens
- Performance in Short Text: Comparable to GPT-4o-mini ## Product Link
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