Reflection Beam
Reflection Beam is an open-weight large language model released by Reflection AI, designed for agentic coding and long-horizon tasks, with emphasis on autonomous planning, tool invocation and multi-step execution.
Timeline (last 90 days)
Reflection Beam has 501B total parameters and 23B activated parameters, uses the Apache 2.0 license with no additional terms, and its smallest official checkpoint is in NVFP4 format at 294GB.
Reflection Beam offers two deployment methods on AWS: deploying real-time inference endpoints through Amazon SageMaker JumpStart, and Kubernetes-native distributed inference through Amazon SageMaker HyperPod Inference.
Beam emphasizes autonomous planning, tool invocation, and continuous execution of multi-step operations in complex environments, rather than traditional code completion.
Reflection AI has not yet published detailed benchmark data for Beam.
Beam's actual performance—especially its stability in long-horizon tasks and its tool-calling accuracy—will determine whether it can carve out a place among the fiercely competitive agentic coding models.
All Facts (5)
Reflection Beam has 501B total parameters and 23B activated parameters, uses the Apache 2.0 license with no additional terms, and its smallest official checkpoint is in NVFP4 format at 294GB.
50%UnverifiedReflection Beam offers two deployment methods on AWS: deploying real-time inference endpoints through Amazon SageMaker JumpStart, and Kubernetes-native distributed inference through Amazon SageMaker HyperPod Inference.
50%UnverifiedBeam emphasizes autonomous planning, tool invocation, and continuous execution of multi-step operations in complex environments, rather than traditional code completion.
50%UnverifiedReflection AI has not yet published detailed benchmark data for Beam.
50%UnverifiedBeam's actual performance—especially its stability in long-horizon tasks and its tool-calling accuracy—will determine whether it can carve out a place among the fiercely competitive agentic coding models.
50%