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Semafor ·

NYC-based Reflection unveils Beam, an open model it says rivals GLM 5.2 on reasoning while using 3x-4x less compute and approaches Qwen3.8-Max on agentic tasks

Reflection AI, the startup billing itself as America's answer to open-source Chinese AI, is releasing its first model, called Beam.

In this story Beam Qwen 3.8-Max Reflection
NYC-based Reflection unveils Beam, an open model it says rivals GLM 5.2 on reasoning while using 3x-4x less compute and approaches Qwen3.8-Max on agentic tasks

Lead Source

Semafor — NYC-based Reflection unveils Beam, an open model it says rivals GLM 5.2 on reasoning while using 3x-4x less compute and approaches Qwen3.8-Max on agentic tasks ↗

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Coverage · 0 Discussion · 0
Oct 5Oct 7

Coverage

Axios: Axios

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Reflection: Reflection
PCMag: PCMag
Forbes: Forbes
Axios: Axios
The Hill: The Hill
Fortune: Fortune
Futurum: Futurum
The Decoder: The Decoder
Financial Times: Financial Times
The Rundown AI: The Rundown AI
The Neuron: The Neuron
Help Net Security: Help Net Security
Sources: Sources
TechCrunch: TechCrunch
Bloomberg: Bloomberg
Implicator.ai: Implicator.ai
South China Morning Post: South China Morning Post
The Information: The Information
Reuters: Reuters
RuntimeWire: RuntimeWire
Fortune: Fortune

Discussion

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Joseph Spisak Peter Pritchard Emre Guven
@real_ioannis @artificialanlys @mishalaskin @nayshins @kimmonismus @brandondamos @eliebakouch @alexpolozov @reflection_ai @gneubig @alexfinn @jeremiahdillon @sriramk @geoffreyhuntley @ziqiao_ma @zkwentz @deryatr_ @amasad @ashxhart @xianjun_agi @kyleichan @michaelnicollsx @stephzhan @sahnihim @orcarouter @jeremiahdillon @teortaxestex @dexhorthy @zkwentz @natolambert @_ghorbani @rvarm1 @clementdelangue @theahmadosman @mojan_jp @romanchernin @hououintyouma @iscienceluvr @djlougen @davemorin @demian_ai @ccatalini @saranormous @alfred_lin @ollama @brianzhan1 @dsrubinstein @chetantekur @alexeheath @dee_bosa @natolambert

Related stories

VentureBeat: Reflection AI releases Apache 2.0-licensed weights for Beam, a 501B-parameter model, trained with RL that penalized unnecessary tokens
Bloomberg: Alibaba releases Qwen3.8-Flash, an open-weight, 125B-parameter model built on its next-gen Qwen 4 architecture, saying it rivals Opus 4.6 and V4-Flash
Wired: Recursive releases Flint, an open-weight, 40B-parameter coding model developed with its Eureka Machine AI system, which automated most of the development
Qwen: Alibaba releases Qwen-Image-2.1, a 7B open-weight model it says outperforms most closed-source models, with native transparency and up to ten reference images
The Register: Cloudflare debuts open-weight multimodal decision models Clef and Clef-flash, claiming they are smarter and faster than Jev, based on Qwen3.8-27B and Qwen3.5-9B

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