Beam
An open model from the American company Reflection with 501B parameters (23B active, a 1 million token context), text only, mainly English. Stated as economical in reasoning: according to the authors it needs about three times fewer tokens for thinking at comparable quality. Strong in programming, tool calling and science. Weights in BF16, FP8 and NVFP4. The benchmark figures are the authors' own.
- Developer
- Reflection AI, USA
- First release
- Oct 2026
- Latest release
- Oct 2026
- Sizes
- 501B-A23B
- License
- Commercial use allowedApache 2.0
- Russian
- Not supported
- Running
- On your own serverNeeds a GPU
- Industries
- Software development, Science and research, Finance, Security
What it does
- an agent for solving tasks in a repository and a terminal
- long tasks with tools and search (via MCP)
- solving scientific and mathematical problems with reasoning
Where it is used
Hardware requirements
Versions
- Beam-1.0 NVFP4
- Beam-1.0 FP8
- Beam-1.0 501B-A23B (BF16)
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can Beam be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does Beam need?
At minimum: Server with several GPUs — flagship versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does Beam support Russian?
No. The developer documentation lists the supported languages and Russian is not among them.
Where can I download Beam and what does it cost?
The Beam weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
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DetailsSource: huggingface.co/reflection/Beam-1.0-501B-A23B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


