BioNeMo vs Recursion
A side-by-side comparison of BioNeMo and Recursion, two Science tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | BioNeMo | Recursion |
|---|---|---|
| Category | Science | Science |
| Pricing (differs) | FREEMIUM | PAID |
| License (differs) | Open core | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms (differs) | API, Linux | Web |
| Model support | Self-contained (on-device) | Self-contained (on-device) |
| Vendor (differs) | NVIDIA | Recursion Pharmaceuticals |
| Capabilities (differs) |
|
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The honest brief
BioNeMo
GPU-optimized recipes claim ~2x faster biofoundation-model training and ~6x faster inference versus unoptimized pipelines.
- Open-source framework (Apache-2.0)
- Prebuilt models for protein and molecule tasks
- NIM microservices for production deployment
- Bundles datasets and training recipes
- Requires NVIDIA GPUs
- Steep learning curve for non-ML scientists
- Production microservices are paid
Recursion
Runs a vast in-house automated wet lab generating millions of cell experiments weekly, feeding a 50+ petabyte dataset few rivals can match.
- Recursion OS with LOWE language layer
- Massive proprietary biology dataset
- Natural-language target and compound queries
- Public company with pharma partners
- No self-serve product or API
- Partner and internal use only
- Opaque pricing
- No approved drug yet
When to pick which
Across the signals we compare, BioNeMo and Recursion differ on pricing, license, deployment, and platforms:
- Pricing
- FREEMIUM · PAID
- License
- Open core · Proprietary
- Deployment
- Hybrid · Cloud
- Platforms
- API, Linux · Web
Their capability lists differ in recorded depth — compare the full lists above before deciding.