Introducing Beam: Reflection's 501B open-weight model — Reflection
- Beam is a sparse Mixture-of-Experts model with 501 billion total parameters, 23 billion active, built for coding, reasoning, and agentic workloads.
- Beam’s capabilities come from major investments in both pretraining and reinforcement learning (RL).
- We pretrained the model on 23.8 trillion diverse, curated, high-quality tokens from the web and proprietary licensed datasets, matching or outperforming available similar-sized open base models.
Unverified
- Beam is a sparse Mixture-of-Experts model with 501 billion total parameters, 23 billion active, built for coding, reasoning, and agentic workloads.
- Beam’s capabilities come from major investments in both pretraining and reinforcement learning (RL).
- We pretrained the model on 23.8 trillion diverse, curated, high-quality tokens from the web and proprietary licensed datasets, matching or outperforming available similar-sized open base models.
Sources: Reflection