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Reflection Beam

AI Platforms Open Source

Reflection's first open-weight model (Oct 16, 2026): 501B MoE with 23B active, 1M-token context, text-only, Apache 2.0 weights in BF16/FP8/NVFP4, built for coding and agentic work; open-source Mirror CLI and 40+ day-0 partners, founded by ex-DeepMind researchers

Open SourceMoECoding AgentApache 2.01M Context
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Overview

Reflection Beam is the first open-weight model from US AI lab Reflection, released on Oct 16, 2026 and positioned for coding and agentic workloads.

It uses a sparse Mixture-of-Experts architecture with 501B total and about 23B active parameters, a 1M-token context window, text-only input and output, and a June 30, 2026 knowledge cutoff.

Beam ships BF16, FP8 and NVFP4 weights under Apache 2.0 for direct download on Hugging Face, alongside a public-beta first-party API and the open-source Mirror CLI terminal coding agent, with day-0 support from more than 40 cloud platforms and inference frameworks.

Founded by former Google DeepMind researchers Misha Laskin and Ioannis Antonoglou and backed by NVIDIA, Reflection frames Beam as the kernel of an open operating system for agents, aimed at teams that want to self-host and customize a frontier model.

Key Features

Use Cases

Pros

Pricing

Weights are free to download under Apache 2.0 (BF16, FP8, NVFP4); the first-party API is a free public beta with no official price yet; OpenRouter lists about $1 input / $3 output per million tokens, with hosts ranging from $0.25/$1 to $1.30/$4.30.

Summary

Reflection Beam is the US open-source camp's answer to Chinese open models like DeepSeek, Kimi and GLM: a 501B MoE fully open under Apache 2.0, paired with the open-source Mirror CLI and 40+ ecosystem partners for self-hostable, customizable coding and agent models. Its SWE-bench Verified 80.9 and AIME 2026 97.8 are vendor-reported, with no independent verification yet.

Version History

Category
AI Platforms
Pricing
Open Source
Tags
Open Source · MoE · Coding Agent
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