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Reflection AI unveils Beam, its first open-weight model, aimed at Chinese rivals

Nvidia-backed Reflection AI unveiled Beam, a 501-billion-parameter open-weight model it says matches leading Chinese open models on reasoning at lower inference cost. The performance claims have not been independently verified, and weights are due this month.

2 outlets · 0L · 2C · 0R First reported Account updated
Image: TechCrunch
Image: CNA

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The story, neutrally told

Centre · 2Nvidia-backed Reflection AI unveiled Beam, its first open-weight AI model, on Monday 5 October 2026. Centre · 2Reflection describes Beam as a text-only mixture-of-experts model with 501 billion total parameters, of which 23 billion are active for each task, pre-trained on 23.8 trillion tokens with a 1 million token context window. Centre · 2By comparison, Z.ai's GLM-5.2 has about 744 billion total parameters with 40 billion active.

Centre · 1Reflection says Beam scores on par with GLM-5.2 on advanced reasoning benchmarks and outperforms today's leading Western open models while using "3-4x less inference compute"; TechCrunch notes these claims have not been independently verified. Centre · 1CNA reports Reflection saying Beam is competitive with GLM-5.2 and closing in on Qwen3.8-Max on coding and agentic tasks. Centre · 1Reflection calls Beam a "workhorse model" for enterprises, the public sector and developers, and says it was trained with high-compute reinforcement learning for reasoning, coding and agentic tasks.

Centre · 1Reflection's own benchmarks show Beam outscoring Inkling, the open model from Thinking Machines Lab released in July, on four coding tests, though Inkling is multimodal and Beam is text-only. Centre · 1Reflection says it will release Beam's weights and full technical details this month, with distribution through hyperscalers and neoclouds and integrations across open source libraries at launch. Centre · 2Reflection was founded in 2024 by former Google DeepMind researchers Misha Laskin and Ioannis Antonoglou, and has raised roughly $4.7 billion from backers including Nvidia, Sequoia Capital and Lightspeed Venture Partners, per PitchBook, at a $25 billion pre-money valuation in its last round.

Centre · 2This summer Reflection signed deals collectively worth more than $7 billion with SpaceX and Nebius for access to Nvidia GB300 chips through 2029; CNA specifies the SpaceX deal covers capacity at Colossus 2. Centre · 1Reflection is targeting enterprises and sovereign nations with "AI factories", letting institutions train its models on their own data, and has begun testing a sovereign AI factory partnership with Shinsegae Group in South Korea; TechCrunch notes the idea is championed by Nvidia CEO Jensen Huang and would benefit Nvidia's GPUs. Centre · 1CNA frames the launch as US tech firms trying to fend off cheaper, more customizable Chinese open-weight models that generate code nearly as well as leading OpenAI and Anthropic models.

Centre · 1Reflection did not respond in time to TechCrunch's requests for more information.

Every sentence links to the reporting it rests on. The pill in front of each says where its sources sit: Left, Centre or Right when one side supplies at least half of them, Mixed when they are evenly split. The number is how many outlets it cites.

Left0 outlets

No left outlet in our sources has covered this story yet.

Centre2 outlets

Framing
Both outlets present Beam as a Western open-weight challenger to cheaper Chinese models; TechCrunch adds funding, compute and business-strategy detail and CNA gives a short, wire-style summary.
Emphasis
Parameter counts versus GLM-5.2, Reflection's benchmark claims, the race against Chinese open models, Nvidia backing and the SpaceX compute deal.
Leaves out or plays down
CNA omits that the claims are unverified, the weights release date, the Inkling comparison and the AI factory pitch; TechCrunch does not mention the Qwen3.8-Max comparison.
Charged language
“frontier”“workhorse model”“take on Chinese open models”
For example
“a claim that could heat up the race to build a Western answer to DeepSeek, Qwen, and Z.ai.” — TechCrunch
“as the startup aims to compete with lower-cost Chinese models such as DeepSeek and Kimi in coding and agentic tasks.” — CNA

Right0 outlets

No right outlet in our sources has covered this story yet.