Interactive tool compares 1,109 outputs from 33 Qwen AI models
A developer has launched a comparison tool hosting 1,109 one-shot outputs generated from 33 different Qwen models using 35 standardized prompts. The collection covers various versions, sizes, and modalities of Alibaba's Qwen family, including Qwen 3.7, 3.6, 3.5, and specialized Coder and VL models. This tool provides developers with a practical, side-by-side comparison to evaluate how different Qwen model variants perform on identical tasks. It simplifies the decision-making process for selecting and deploying the most cost-effective and capable Qwen model for specific use cases. The outputs were generated using the cheapest Qwen models available on OpenRouter, resulting in 1,109 successful generations out of a theoretical 1,155 matrix due to occasional API failures. The tool includes outputs from advanced reasoning models like Qwen 3 with thinking capabilities, as well as vision-language (VL) models.
## BACKGROUND
Qwen is a family of open-source and proprietary large language models developed by Alibaba Cloud. OpenRouter is a unified API service that aggregates access to various LLMs from different providers, allowing developers to easily query and compare models. One-shot prompting is a technique where a model is given a single example of the desired task and format to guide its response.