Beam is focused on coding and agentic use cases. It is for teams that want a frontier-scale model on their own hardware, infrastructure, or cloud, and want to customize it to their own use cases. Beam ships with its own dedicated open source Rust based harness that delivers the best performance from the model.

TL;DR

501B-parameter MoEs LLM with 23B active per token. 52 layers, 256 experts per MoE layer, 8 routed per token.
Text in, text out with context window of 1M tokens.
Checkpoint formats: BF16, FP8, and NVFP4
Reasoning that can stay in context across turns (`preserve_thinking`), tool calling with a dedicated grammar. The model supports five reasoning values: "low", "medium" (default), "high", "xhigh", and "max".
Response template in the tokenizer.
Speculative decoding drafter model with DFlash2
Day-0 libraries: transformers, SGLang, vLLM. Full-parameter RL with Miles.
Ships with an open source Rust-based custom harness.
Apache 2.0.

Beam is focused on coding and agentic use cases. It is for teams that want a frontier-scale model on their own hardware, infrastructure, or cloud, and want to customize it to their own use cases. Beam ships with its own dedicated open source Rust based harness that delivers the best performance from the model.

TL;DR

501B-parameter MoEs LLM with 23B active per token. 52 layers, 256 experts per MoE layer, 8 routed per token.
Text in, text out with context window of 1M tokens.
Checkpoint formats: BF16, FP8, and NVFP4
Reasoning that can stay in context across turns (`preserve_thinking`), tool calling with a dedicated grammar. The model supports five reasoning values: "low", "medium" (default), "high", "xhigh", and "max".
Response template in the tokenizer.
Speculative decoding drafter model with DFlash2
Day-0 libraries: transformers, SGLang, vLLM. Full-parameter RL with Miles.
Ships with an open source Rust-based custom harness.
Apache 2.0.

Beam

Highly efficient agentic 501B parameter open model

Highly efficient agentic 501B parameter open model