A unified evaluation toolkit and leaderboard for rigorously assessing the scientific intelligence of large language and vision–language models across the full research workflow.
<h1 align="center"><img src="assets/icon/opencompass.png" alt="OpenCompass" height="50" style="vertical-align:middle;" /> SciEval ToolKit</h1> <p align="center"><strong> A unified evaluation toolkit and leaderboard for rigorously assessing the scientific intelligence of large language and vision–language models across the full research workflow. </strong></p> <hr style="width:100%;margin:16px 0;border:0;border-top:0.1px solid #d0d7de;" /> <div align="center"> [](https://scievalkit-docs.readthedocs.io/en/latest)  [](https://opencompass.org.cn/Intern-Discovery-Eval/rank)  [](https://arxiv.org/abs/2512.22334)  [](https://github.com/InternScience/SciEvalKit) <img src="assets/icon/welcome.png" alt="welcome" height="24" style="vertical-align:middle;" /> Welcome to the official repository of <strong>SciEval</strong>! <div align="center"> <img src="assets/SciEvalKit.png" alt="SciEval capability radar" width="90%"> </div> </div> ## <img src="assets/icon/why.png" alt="why" height="28" style="vertical-align:middle;" /> Why SciEval? **SciEval** is an open‑source evaluation framework and leaderboard aimed at measuring the **scientific intelligence** of large language and vision–language models. Although modern frontier models often achieve *~90* on general‑purpose benchmarks, their performance drops sharply on rigorous, domain‑specific scientific tasks—revealing a persistent **general‑versus‑scientific gap** that motivates the need for SciEval. Its design is shaped by following core ideas: - **Beyond general‑
Google's AI-powered research notebook that ingests your documents and becomes an expert on your content. Generates audio overviews, study guides, FAQs, and interactive discussions from uploaded sources.
Google DeepMind's experimental AI agent that can navigate websites, fill forms, and complete multi-step browser tasks autonomously. Uses Gemini's multimodal understanding to interact with web interfaces.
Google DeepMind's universal AI assistant prototype that can see, hear, and respond in real-time through your device camera and microphone. Demonstrates the future of multimodal AI interaction.
Google Cloud's enterprise platform for building, deploying, and managing AI agents powered by Gemini. Supports multi-agent orchestration, tool integration, and enterprise governance.
Gemini's agentic research capability that autonomously browses the web, synthesizes information from dozens of sources, and produces comprehensive research reports on any topic.
Interactive coding and content creation agent that generates, previews, and iterates on code, documents, and interactive applications in a side panel. Supports HTML/CSS/JS, Python, and more.