Intern S1 💻Github Repo • 🤗Model Collections • 📜Technical Report • 💬Online Chat 👋 join us on Discord and WeChat Introduction We introduce Intern S1 , our most advanced open source multimodal reasoning model to date. Intern S1 combines strong general task capabilities with state of the art performance on a wide range of scientific tasks , rivaling leading closed source commercial models. Built upon a 235B MoE language model (Qwen3) and a 6B Vision encoder (InternViT), Intern S1 has been further pretrained on 5 trillion tokens of multimodal data, including over 2.5 trillion scientific domain tokens . This enables the model to retain strong general capabilities while excelling in specialized scientific domains such as interpreting chemical structures, understanding protein sequences, and planning compound synthesis routes , making Intern S1 to be a capable research assistant for real world scientific applications. Features Strong performance across language and vision reasoning benchmarks, especially scientific tasks. Continuously pretrained on a massive 5T token dataset, with over 50% specialized scientific data, embedding deep domain expertise. Dynamic tokenizer enables n…
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