Reflection Releases Beam Open Weights Model With Launch-Day vLLM Support

1. 23:26
   vLLM · XPicks

   Reflection-Beam-1.0 gets Day-0 support in vLLM

   Reflection-Beam-1.0 from @reflection_ai has Day-0 support in vLLM. 501B total parameters, 23B active per token, and a 1M-token context window. Beam combines hybrid attention with Harmony-format reasoning and tool use. Beam also has Day-0 RL support in SkyRL (@NovaSkyAI): https://t.co/3SjWJKKgpH https://t.co/EkmA1L6B3H

2. 21:31
   Artificial Analysis · X

   Reflection’s Beam scores 30 on Artificial Analysis Intelligence Index, ranking #2 among US open weights models

   Reflection’s first model, Beam, scores 30 on the Artificial Analysis Intelligence Index, placing it #2 among US open weights models. Beam is an open weights model with 501B total and 23B active parameters, released on Hugging Face.

3. 21:23
   vLLM · X

   Reflection-Beam-1.0 gets Day-0 support in vLLM

   Reflection-Beam-1.0 has Day-0 support in vLLM, with 501B total parameters, 23B active per token, and a 1M-token context window. Beam combines hybrid attention with Harmony-format reasoning and tool use, and has Day-0 RL support in SkyRL through LoRA, BF16 full fine-tuning and MXFP8 RL, with vLLM rollouts. vLLM worked with Reflection and Inferact on the serving path, from fused kernels to DFlash.

4. 08:00
   Hugging Face BlogPicks

   Reflection releases Beam, a 501B open model for coding and agentic work

   Reflection released Beam on Hugging Face, a 501B MoE model with 23B active parameters per token, a 1M-token context window, and an Apache 2.0 license. The text-only model targets coding and agentic work, with BF16, FP8, and NVFP4 checkpoints and day-0 support in transformers, vLLM, and SGLang. Hugging Face provides deployment and post-training recipes alongside its own task evaluations and demos.

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