Qwen: Qwen-Turbo
Analysis Summary
Qwen: Qwen-Turbo sits in the Efficient tier on our leaderboard, ranked #249 of 525 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 an extremely affordable model with a large 131K context window and tool/function calling support, making it suitable for cost-sensitive, high-volume tasks. Its reasoning and coding capabilities are limited, however, and it carries a regional accessibility penalty for Western business use.
Assessed April 23, 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 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
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: April 25, 2026 8:38 pm