Qwen: Qwen-Turbo
Analysis Summary
Qwen: Qwen-Turbo sits in the Efficient tier on our leaderboard, ranked #261 of 557 published models on overall intelligence. At $0.033 input and $0.130 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window and supports tool use and function calling.
Editorial notes
Qwen-Turbo is cheap with tool use and a 131K context, but its intelligence index is low and benchmark coverage is thin, making it suitable only for high-volume, low-complexity tasks.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Qwen-Turbo, based on Qwen2.5, is a 1M context model that provides fast speed and low cost, suitable for simple tasks.
Capabilities
Benchmark Scores
Intelligence
Technical
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen-Turbo stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
qwen/qwen-turbo
|
| Provider | qwen |
| Release Date | February 1, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 8,192 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000033 |
| Output | $0.13 | $0.000130 |
Leaderboard Categories
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 20, 2026 8:38 pm