RFdiffusion
Generative Protein Design
The Baker Lab's diffusion-based protein design model — released July 2023, the first model that could generate novel proteins that actually fold and bind to specified targets. Spawned an entire wave of design tools: ProteinMPNN, LigandMPNN, RFantibody, BindCraft, RFdiffusion 2/3. Foundation of David Baker's 2024 Nobel-recognized work.
Cost
Free
Open weights — self-host
How are Intelligence, Speed & Cost bucketed?
Intelligence and Speed buckets are percentile ranks on
Artificial Analysis. Cost buckets are fixed dollar
thresholds keyed off output-token price ($/M out).
Intelligence
- Top 1%≤ 1%
- Top 5%≤ 5%
- Top 10%≤ 10%
- Good≤ 25%
- Medium≤ 50%
- Below avg> 50%
Speed
- Top 1%≥ 345 tok/s
- Top 5%≥ 237 tok/s
- Top 10%≥ 196 tok/s
- Good≥ 146 tok/s
- Medium≥ 90 tok/s
- Slow< 90 tok/s
Cost
- Freeopen weights · self-host
- Low< $1 / M out
- Moderate$1–5 / M out
- High≥ $5 / M out
Why it matters
Earned David Baker a share of the 2024 Chemistry Nobel (alongside Hassabis and Jumper for AlphaFold). Established that AI can design novel functional proteins from scratch — a capability biology had been chasing for 50 years.
Core Capabilities
Science
Built for biology, chemistry, materials, weather, or math research.
Generative
Produces images, video, audio, or other media.
Vision
Understands images, scenes, and visual context.
Multimodal
Combines text, vision, and audio in one model.
Context Window
Context window not disclosed.
Availability
API
Not available
Product / App
Not available
Open Source
Released
Enterprise
—
Pricing Model
Free / self-host
Open weights — pay only for compute.
Self-host What it feels like
- Vision-language model from Academic / Independent — see the linked sources below for benchmark and review coverage
- Vision and multimodal tasks are the typical fit per the published model card
Best use cases
- Vision tasks (charts, documents, images) per the model card
- See the model spec and sources block for benchmarked use cases
Not ideal for
- Tasks far outside the modalities listed in this model's spec
- Workflows where a more recent successor in the same family scores higher