Corollary vs Claude Science

The short answer

Claude Science is an app you install. Claude works in a sandbox on your computer, or on a Linux server you set up, and reaches GPUs through hardware and accounts you connect: your own machine, a Slurm cluster, Modal, or NVIDIA's hosted models. It comes with paid Claude plans from Pro upwards, and is in public beta.

Corollary is a hosted service. The agent has a Linux machine of its own on our servers, and 145 open models run here, so nothing needs installing or connecting. It is free, and it is a non-commercial research demonstration.

Choose Claude Science if your data must stay on your own computer, if you already have a cluster or a GPU budget, or if you need commercial terms. Choose Corollary to have structure prediction, protein design and pipelines working in a browser today, without hardware or a subscription.

Side by side

Claude Science's column is from its own public pages, read on 24 October 2026; the numbers link to them below. Corollary's figures are counted from the platform itself and each one links to the page that lists them.

Where Claude Science is the better choice

• Your files stay on your own computer, and the code runs in a sandbox there — useful when data may not leave your institution.^[7][11]
• It uses compute you already have: your own GPU, your cluster through SSH and Slurm, or your Modal account.^[5]
• Commercial use is allowed, with enterprise controls such as SSO and SCIM.^[1]
• Every result keeps the messages, code, execution log and environment that produced it, and a reviewer checks claims against that record.^[14][13]
• It is not limited to biology: chemistry, physics, materials, mathematics and the social sciences are in scope.^[3]
• Academic and nonprofit PIs can get Team seats at no cost for 12 months, while places last.^[12]

Where Corollary is the better choice

• Free, with no subscription: 30,000 credits a month, and database queries never use credits.
• No hardware to bring: 145 models — structure prediction, protein design, docking, genomics — run here, with no cluster, Modal account or NVIDIA key of your own.
• Nothing to install: it runs in a browser, and long jobs keep running after you close the page or your laptop.
• 143 nf-core pipelines run as jobs on machines of their own, without a cluster.

Try the same work on Corollary

Ask in plain language. The agent works on a Linux machine of its own: it installs and runs what the job needs, keeps every file, and reads the results back with the numbers explained.

Questions

Sources

1. [1]Claude Science — product page
2. [2]Anthropic — Claude Science launch (30 June 2026)
3. [3]Claude Science docs — overview
4. [4]Claude — pricing
5. [5]Claude Science docs — compute providers
6. [6]Claude Science docs — tools and environments
7. [7]Claude Science docs — core concepts
8. [8]Claude Science docs — connectors and skills
9. [9]Claude Science docs — how Claude Science works with your data
10. [10]Claude Science docs — admin controls
11. [11]Claude Science docs — using multiple computers
12. [12]Claude — Team plan for scientists
13. [13]Claude Science docs — the reviewer
14. [14]Claude Science docs — artifacts
15. [15]Claude Science docs — remote compute clusters
16. [16]Claude Science docs — custom connectors
17. [17]Claude Science docs — run on a remote Linux server