Open-Weight LineageReflection

Reflection launches Beam, an open-weight model

Reflection launched Beam, an open-weight model — a sparse mixture-of-experts architecture with 501 billion total and 23 billion active parameters per token, released under Apache 2.0 with a context of 1 million tokens

Why it matters

It is the first model from a new US lab. Company-reported scores were SWEBench Verified 81.6%, GPQA Diamond 90.6%, AIME 2026 97.7% and Terminal Bench v2.1 80.1% (on BF16), and it ships in three versions, BF16, FP8 and NVFP4, with the NVFP4 checkpoint at about 280GB

Source — Primary sources first; secondary reports are labelled “Press”

Officialhuggingface.cohttps://huggingface.co/blog/reflection-beam

Added in Week 43, 2026 · See that week

Same week

NVIDIA previews a 2.8 trillion token corpus for 22 Indian languagesOfficialNVIDIA launches RTX Spark laptopsOfficialMeta releases Muse Spark Open weightsOfficialAnthropic gives an independent evaluator team at METR employee-like accessOfficial

Nearby on the same axis

Meta releases Muse Spark Open weightsOfficialMistral AI releases Timestral, a time-series forecasting modelOfficialAllen Institute for AI releases AstaBrief 8BOfficialCohere releases North Small Translate 1.0 for machine translationOfficial