ESM3-open
EvolutionaryScale's open generative protein model: designs proteins by jointly reasoning over sequence, structure and function.
About
ESM3 is the flagship of EvolutionaryScale, the biology AI lab founded by the former Meta ESM team, launched in June 2024. It departs from the encoder-only ESM-1/ESM-2 line: a masked generative transformer that represents a protein across three simultaneous tracks — amino-acid sequence, discrete structure tokens, and function annotation — so a single model can be prompted with any combination of partial sequence, structure and function and asked to complete the rest. Trained on 2.78 billion proteins, it famously generated a novel green fluorescent protein that the team estimates would take 500 million years of natural evolution to arise.
The open release, esm3_sm_open_v1 (1.4B parameters), is free for non-commercial scientific use under the Cambrian Open License; the 7B and 98B flagships are served through the Forge API. The underlying science is published in Hayes et al., Science 2025. For academic protein-design work it is the most capable openly downloadable generative biology model, though commercial teams need the paid Forge tier.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
- No standard benchmark table; Science 2025 paper (Hayes et al.) reports generative design results including novel GFP generation (peer-reviewed, provider-run)
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (metrics tier, metrics-v1). Evidence: EvolutionaryScale launch Jun 2024 with peer-reviewed Science 2025 paper (Hayes et al.); 1.4B open checkpoint under Cambrian Open License; trained on 2.78B proteins; NVIDIA BioNeMo/NIM distribution. Open weights. Facts corroborated across Business Wire, NVIDIA's blog, and community tooling docs. Strengths: peer-reviewed generative biology claims, genuinely novel three-track architecture, real open checkpoint. Docked for: (1) Cambrian Open License is non-commercial — not OSI-open; (2) the open 1.4B is far smaller than the 98B flagship, so published SOTA results don't fully transfer to the downloadable weights.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 8.0/10
- Maintenance · recency, releases, issue load
- 8.0/10
- Openness · license + docs
- 6.0/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · EvolutionaryScale launch 2024-06-25; peer-reviewed Science 2025 paper; 1.4B open checkpoint; trained on 2.78B proteins
- · Docked: Non-commercial license — not OSI-open
- · Docked: Open 1.4B far smaller than 98B flagship; SOTA results don't fully transfer