Beam
AssessPlatforms
Reflection's sparse Mixture-of-Experts open-weight model for coding, reasoning, and agentic tasks.
Why it's here
Placed in Assess: 2 article(s) of evidence from 1 source(s), led by model releases, with 2 in the last 30 days. Confidence 30%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (2)
- 7Hacker News·10/6/2026framework_updateGleam v1.19 switches to Erlang abstract forms
Gleam v1.19.0 introduces a rewritten Erlang code generator that now emits Erlang abstract forms instead of Erlang source code. The change improves compile times, produces more accurate line metadata for crashes and stack traces, and raises the overall code quality of the compiler. The release also includes benchmark results showing faster full builds versus earlier versions.
- 8Hacker News·10/5/2026model_releaseReflection unveils Beam, a 501B open-weight coding model
Reflection introduced Beam, a sparse Mixture-of-Experts open-weight model with 501 billion total parameters and 23 billion active parameters. The company says it is optimized for coding, reasoning, and agentic workloads, with training that combined large-scale pretraining and high-compute reinforcement learning. The weights, technical report, model card, and developer artifacts are scheduled for release later this month.