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Beam, a token-efficient coding model from Reflection, is available with open weights

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Merve Noyan says Beam is a token-efficient, frontier-scale model for coding agents, released with its own harness. The quoted Reflection post says Beam is available under the Apache 2.0 license with weights, a tokenizer, and a reference implementation. It also lists BF16, FP8, and NVFP4 weights, a DFlash2 drafter, and the open-source Mirror CLI, with support from more than 40 partners.

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@mervenoyann

Beam is a token-efficient, frontier-scale model for your coding agents, comes with its own harness 🔥

A23B/501B model, also comes with NVFP4 & FP8 and day-0 transformers support 🤗

check out our blog ⤵️

Reflection@reflection_ai
Beam is now available across platforms, with open weights under the Apache 2.0 license - in collaboration with an ecosystem of 40+ partners. We're releasing: - Weights, tokenizer, and reference implementation - BF16, FP8 and NVFP4 weights and a DFlash2 drafter - The open source harness we built and trained Beam on: Mirror CLI Weights and model card on Hugging Face: https://huggingface.co/reflection
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This story is featured in top picks: “Reflection releases Beam, a 501B open MoE model for coding and agents”

Source: merve · x.comPublished · added here