Qwen: Qwen-Turbo
Qwen-Turbo is one of the most affordable models available at $0.03/1M input with a large 131K context window and tool use support, but its benchmark scores are among the lowest in this batch. It is best suited to very high-volume, low-complexity tasks where cost is the overriding priority.
Assessment date: March 14, 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
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
Evaluations
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.
External Resources
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: March 15, 2026 7:52 pm