Panshi 2.0 Released: A Scientific Multimodal Model
新智元 · wechat · 2026-07-18
According to Xin Zhiyuan, Wenge Tech unveiled 磐石 2.0 at WAIC, featuring S1-Omni, a unified scientific multimodal reasoning model, and the surrounding research platform, ScienceOne.
Key highlights include:
- Targeting scientific understanding, prediction, and generation, S1-Omni unifies various scientific modalities including natural language, CIF, SMILES, protein sequences, spectra, and scientific images.
- Beyond learning input-output mappings, training incorporates scientific laws, experimental facts, and expert experience. It utilizes the S1-Omni-Corpus, covering 200+ research tasks and millions of high-quality scientific multimodal reasoning data points.
- Official benchmarks claim S1-Omni significantly outperforms general models like GPT-5.5 and Gemini 3.1 Pro across 60+ scientific tasks, with outstanding performance in drug property prediction, protein site prediction, and scientific image generation/editing.
- ScienceOne embeds the model into real-world research workflows, integrating papers/patents, research projects, reports, large-scale scientific facility data, and specialized databases. It covers literature analysis, hypothesis generation, scheme design, modeling and simulation, validation, and results expression.
The article also showcases blind test cases in quantum information and breast cancer mutation analysis, emphasizing that the goal isn't just topping leaderboards but merging a "science-fluent model" with a "usable research system."
Related event: S1-Omni: A Unified Multimodal Model for Scientific Reasoning(2 posts)→
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