Reinvent 4
No estimate
No hardware requirements for this model
This model's weights are open, but no parameter count has been published for it. Every memory and speed figure starts from that number, so we would rather show nothing than a fabricated estimate.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- AstraZeneca
- Organisation type
- Industry
- Country
- United Kingdom of Great Britain and Northern Ireland, Sweden
- Published
- 21 February 2024
- Authors
- Hannes H. Loeffler, Jiazhen He, Alessandro Tibo, Jon Paul Janet, Alexey Voronov, Lewis H. Mervin, Ola Engkvist
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Drug discovery
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Prior Model: 1M molecules × 50 tokens/molecule = 5 × 10^7 tokens Mol2Mol Agent: 200B pairs × 2 molecules/pair × 50 tokens/molecule = 2 × 10^13 tokens Total: 5 × 10^7 + 2 × 10^13 ≈ 2.0 × 10^13 tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Open — downloadable
- Model access
- Open weights (unrestricted)
- Training code
- Open source
Apache 2.0 https://github.com/MolecularAI/REINVENT4
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
- Citations
- 50
Sources
Where this record came from and when it was last checked.
- Reference
- Reinvent 4: Modern AI–driven generative molecule design
- Last updated
- 28 November 2025
What the numbers mean
Background
Reinvent 4 was published by AstraZeneca, in the country recorded as United Kingdom of Great Britain and Northern Ireland, during February 2024. It comes out of an organisation categorised as industry.
It works in the domain of Biology, and is recorded as performing the task of drug discovery.
The weights being open is what puts this page in the calculator rather than only in the catalogue: it is a model you can actually hold.
Answers
Reinvent 4 — common questions
Reinvent 4— what is it used for?
It works in the domain of Biology, and is recorded as handling the task of drug discovery. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
Reinvent 4— where can I download it?
The weights are published, though we do not hold a repository link for it. This site calculates hardware requirements rather than hosting model files.
Reinvent 4— what GPU do I need to run it?
We cannot say. It has open weights, but no parameter count has been published for it, and every memory and speed calculation starts from that number. We would rather show nothing than a fabricated estimate.
Reinvent 4— is it open source?
Its weights are published, so it can be downloaded and run on your own hardware. Note that open weights is not the same as open source in the full sense — it says nothing about the training data, the training code, or the commercial terms attached.
Reinvent 4— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
Reinvent 4— who created it?
It was published by AstraZeneca, based in United Kingdom of Great Britain and Northern Ireland, an organisation categorised as industry.
Reinvent 4— when was it released?
It was published in February 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.