> For the complete documentation index, see [llms.txt](https://docs.cherryai.com.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cherryai.com.cn/docs/en-us/other/model_rank.md). # Model Rankings Model rankings are used to help compare the relative performance of different models and should not be used alone as the basis for model selection. Data comes from [Arena AI](https://arena.ai/), and is automatically updated daily by GitHub Actions. When choosing a model, you should also consider task type, context length, multimodality and tool-calling capabilities, speed, price, regional availability, and data policies. Rankings and prices change dynamically; please refer to the update time marked on the page and the official information from the model provider. ## Ranking directory * [Agent rankings](/docs/en-us/other/model_rank/agent.md): This ranking evaluates models' overall performance on multi-turn tool-calling / agent tasks, covering metrics such as net improvement rate, confirmation success rate, thumbs-up/down ratio, controllability, Bash recovery rate, and tool hallucination rate. * [Text rankings](/docs/en-us/other/model_rank/text.md): This ranking is Arena AI's core text battle ranking, estimating models' relative strength based on human blind-vote battles. * [Search rankings](/docs/en-us/other/model_rank/search.md): This ranking evaluates models' performance on web-connected search / information retrieval tasks. * [Vision rankings](/docs/en-us/other/model_rank/vision.md): This ranking evaluates the performance of multimodal models on image understanding tasks. * [Code / Web development rankings](/docs/en-us/other/model_rank/code-webdev.md): This ranking evaluates models' practical performance in Web front-end development (HTML/CSS/JS) tasks. * [Text-to-image rankings](/docs/en-us/other/model_rank/text-to-image.md): This ranking evaluates the ability of text-to-image models to generate images from text prompts. *** ### 💡 Get help and submit feedback If you encounter any questions, bugs, or have suggestions for feature improvements during configuration or use, please refer to [Feedback and suggestions](/docs/en-us/question-contact/suggestions.md) for the official channels provided. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.cherryai.com.cn/docs/en-us/other/model_rank.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.