Reflection AI Has Developed Beam Coding Model
The new 501-billion parameter open-weight model achieved significant scores on industry benchmarks.
Updated on Oct. 6, 2026 in Artificial Intelligence
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Reflection AI has unveiled Beam, a massive 501-billion parameter coding model designed with a mixture-of-experts architecture. The system achieved a score of 80.1 on Terminal Bench v2.1 and 44.4 on DeepSWE v1.1.
Why it matters
The model represents a significant effort in reinforcement learning, utilizing 1.3 billion sandboxes and 10,500 NVIDIA GB300 GPUs to refine its coding capabilities. Reflection AI intends to advance transparency by releasing the model weights and safety testing protocols.
Beam operates with 501 billion total parameters and utilizes a mixture-of-experts design that engages 23 billion active parameters per token. The training process required 10,500 NVIDIA GB300 GPUs to generate over 100 million attempts across 1.3 billion sandboxes.
The players
Reflection AI
Reflection AI is a technology company focused on developing advanced machine learning models and artificial intelligence architectures.
NVIDIA
NVIDIA is a multinational technology corporation known for designing graphics processing units and hardware that power large-scale artificial intelligence training.
The details
Beam was trained over a four-week period using reinforcement learning that involved querying other large language models. Safety alignment for the model was achieved by distilling a separate safety model into the core architecture.
Timeline
The reinforcement learning training phase spanned four weeks.
Reflection AI plans to publish the Beam model weights in October 2026.
The Tech Race
The adoption of the Apache 2.0 open-source license facilitates the broad, collaborative distribution of model weights across the global development community. This move positions Reflection AI within the growing segment of developers prioritizing transparent access to high-parameter coding models.
Developers and researchers will soon have access to the Beam model weights, enabling them to integrate the high-parameter coding system into their own custom applications. The upcoming release of internal safety tests provides users with greater visibility into the model's reliability.
The takeaway
The deployment of 501-billion parameter models signals a continued push toward larger, mixture-of-experts architectures in specialized coding tasks. Developers should prepare for the October release by reviewing existing documentation on mixture-of-experts performance metrics.
What happens next
Reflection AI is scheduled to publish the Beam model weights and a corresponding technical report on safety results later in October 2026.
Further reading
Learn more about the latest industry developments in the Artificial Intelligence section.
Source note: This article includes information reported by Help Net Security.
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