Reflection AI Beam

by Reflection AI

Beam is Reflection AI's inaugural open-weight frontier model, released October 5, 2026. It is a sparse mixture-of-experts model with 501 billion total parameters and 23 billion active parameters per token, pretrained on 23.8 trillion tokens. Designed for coding, reasoning, and agentic workloads, Beam is positioned as a Western alternative to Chinese open-weight models with superior inference efficiency. Model weights, technical report, and developer artifacts are planned for Apache 2.0 release later in October 2026.

Large Language Models
Proprietary

Primary Use Cases

  • Agentic coding workflows
  • Complex reasoning tasks
  • Enterprise and public sector AI deployment
  • Self-hosted AI infrastructure
  • Research and development

✅ Strengths

  • 3-4x better inference efficiency vs. comparable capability models (vendor claim)
  • Apache 2.0 license enables commercial self-hosting
  • Backed by $4.7B funding from NVIDIA, Sequoia, Lightspeed
  • Trained on proprietary licensed datasets for quality
  • Safety-aligned model version included

⚠️ Limitations

  • Weights not yet publicly released as of October 11, 2026
  • Performance claims are vendor-provided, not independently validated
  • Founded 2024 — limited track record
  • Benchmark comparisons reference models with disputed status

Technical Specifications

Developer
Reflection AI
Category
Large Language Models
Type
🧠 Foundation Model
License
UNKNOWN
Version
Beam 1.0

Trust & Privacy

Health Status
🟢 Active
Trains on User Data
✅ Does not train
Certifications
None listed

Ecosystem & Integrations

API Access
❌ No
Chrome Extension
❌ No
Mobile App
❌ No
Pricing Model
🔓 Open Source
Free Tier
✅ Available

Pricing Breakdown

Open Weight

Apache 2.0 open-weight model for self-hosting (weights release pending as of Oct 11, 2026)

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