Qwen: Qwen-Turbo
Qwen-Turbo is one of the cheapest models available with tool use support, but its limited intelligence benchmarks and regional accessibility considerations mean it's best reserved for very simple, high-volume tasks where cost dominates.
Assessment date: April 4, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
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
Architecture
| Modality | Text → Text |
| Tokenizer | Qwen |
Benchmark Scores
Intelligence
Technical
Benchmark data from Artificial Analysis and Hugging Face
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000033 |
| Output | $0.13 | $0.000130 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
Leaderboard Categories
External Resources
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 4, 2026 8:54 pm