Radar / AI models / Beam

Beam: Reflection's 501B open-weight model for agentic coding

Reflection AI's open-weight sparse MoE (501B total, 23B active) for agentic coding and long-horizon tasks, under Apache 2.0 with a 1M-token context.

trendingmodels · open-weightsJEV traction 0.37added 2026-11-10
Open Beam →View on the radar

Why it matters

A 501B open-weight coding model with permissive Apache 2.0 licensing, hosted for as little as $0.25 per million input tokens, that Reflection says matches Z.ai's GLM-5.2 on its own benchmarks.

What you could build with it

An indie team could self-host Beam on rented GPUs to run a long-horizon coding agent overnight, keeping the weights and the work in-house instead of paying per-token frontier prices.

Does it hold up?

Usable now as a cheap hosted open-weight coding model, but expect rough edges: reasoning cannot be disabled, the API had two full outages in October, and safety tests show gaps under sustained pressure.

Built with Beam

Learn more

official docs →

First spotted on article: source.

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