Models

Baichuan-M3 is a new-generation open-source medical-enhanced language model with 235 billion parameters, built on Qwen3-235B-A22B and released under Apache 2.0 in January 2026.

Large language modelsOpen sourceChina

Baichuan-M2 is an open-source medical-enhanced model with 32 billion parameters, built on Qwen2.5-32B and released under Apache 2.0 for research and reference.

Large language modelsOpen sourceChina

Baichuan-M1 is Baichuan's medical model line, released on 24 January 2025 with Baichuan-M1-preview and the open Baichuan-M1-14B, which Baichuan described as trained from scratch for medicine.

Large language modelsOpen sourceChina

ESM3 is a protein generative model announced by EvolutionaryScale in June 2024 that reasons over sequence, structure and function together, and generated a fluorescent protein estimated to sit over 500 million years of evolution away from known ones.

Open sourceFoundation modelsGenerative models

Baichuan 3 is a closed language model with more than one hundred billion parameters, released by Baichuan on 29 January 2024. The company reported that it matched or beat GPT-4 on several Chinese benchmarks and on Chinese medical tasks.

Large language modelsChinaFoundation models

A pair of medical question-answering language models described in arXiv papers of 26 December 2022 and 16 May 2023; the first introduced the MultiMedQA benchmark, and Med-PaLM 2 reached up to 86.5% on MedQA.

Large language modelsSafety & governanceScience

RoseTTAFold is a three-track neural network for protein structure prediction, published by the Baker lab in 2021; its accuracy approached AlphaFold2's at CASP14, it models protein–protein complexes from sequence alone, and it is distributed as open code with a public web server.

Research historyOpen sourceDeep learning

AlphaFold2 is DeepMind's protein structure prediction system, announced in 2020. It reached accuracy competitive with experimental methods in many cases, and work in this area received half of the 2024 Nobel Prize in Chemistry.

Research historyDeep learningScience

DeepMind's first protein-structure prediction system, which placed first overall in the 2018 CASP13 blind assessment by estimating probability distributions of distances between residues.

Research historyDeep learningScience