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ESM-3

98B generative biology model reasoning over proteins.

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About

ESM-3 is EvolutionaryScale's frontier generative model for biology, released in 2024. It jointly reasons across the three fundamental properties of proteins, sequence, structure, and function, represented as discrete token tracks that can be partially prompted and iteratively unmasked to design new proteins.

At its largest scale, ESM-3 trained with over 1e24 FLOPs on 2.78 billion proteins and 771 billion unique tokens, reaching 98 billion parameters, and the work was published in Science. Only the 1.4B esm3-sm-open-v1 variant is openly downloadable (under a non-commercial license); the 7B and 98B models run behind EvolutionaryScale's Forge API.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

June 1, 2024

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

protein-designdrug-discoverysynthetic-biologystructural-biology

Trust score — 6/10

/10 trustMetrics-checked

Scored 6/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 66; Trending score 62/100 from researcher assessment.

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Sources