Model Releases
reflection/Beam-1.0-501B-A23B · Hugging Face
Beam is an open model built by Reflection. Beam takes text as input and generates text as output. This release includes the instruction-tuned model in BF16, FP8, and NVFP4 numerics. Beam uses a sparse
Beam is an open model built by Reflection. Beam takes text as input and generates text as output. This release includes the instruction-tuned model in BF16, FP8, and NVFP4 numerics. Beam uses a sparse mixture-of-experts (MoE) architecture with 501B total parameters and 23B active parameters. It supports a context window of 1M tokens and was developed predominantly for English. Primary capabilities Token-efficient reasoning: Reaches comparable solution quality to leading open models using approximately 3x fewer inference-time reasoning tokens. Software engineering: Resolves real-world GitHub issues, operates in CLI and DevOps environments, and integrates directly with agentic coding harnesses. Code generation supported across languages. Agentic tool use: Long-horizon task completion, MCP-based tool integration, and browsing. Executes multi-step workflows from natural-language instructions. Reasoning (math and science): Graduate-level science problem solving, theorem proving, and applied mathematics. Reasoning quality transfers to debugging, planning, and self-correction during agentic execution. Model Overview Beam models are designed to deliver strong performance for areas such as agentic tool use, coding and general reasoning with an emphasis on token efficient usage. Property Beam 501B A23B MoE Total Parameters 501.3B Active Parameters 23.4B Layers 52: 3 dense + 49 MoE Attention Gated GQA + Sliding Window Attention Context Length 1M Vocabulary Size 152k tokens Expert Count 256 Supported Modalities Text Chat Template Modified Harmony format Numerics BF16, FP8, NVFP4 Knowledge cutoff June 30, 2026 Benchmark Beam(BF16) Beam(FP8) Beam(NVFP4) Agentic Coding / Terminal DeepSWE v1.1 43.3% 43.0% 42.7% SWE Bench Pro v2-Hard 76.5% 78.4% 78.6% SWE Bench Pro v1 66.1% 65.9% 65.6% Terminal Bench v2.1 80.1% 78.9% 78.4% SWE Atlas Codebase QnA 31.8% 32.2% 31.4% SWEBench Multilingual 78.3% 78.1% 77.5% SWEBench Verified 81.6% 80.2% 80.7% Reasoning AIME 2026 97.7% 98.0% 97.5% HLE (no tools) 36.0% 36.0% 34.8% HLE (with tools) 51.1% 51.1% 51.1% SciCode 49.2% 48.3% 46.9% CriPT AA 16.3% 17.4% 15.4% GPQA Diamond 90.6% 90.3% 89.3% LiveCodeBench 88.3% 88.1% 87.4% Tool Calling / Search AutomationBench - public split only 39.3% 38.2% 39.8% MCP Atlas 80.8% 81.5% 80.5% Tau3 Banking 36.1% 36.8% 35.4% BrowseComp w/ context management 76.8% 76.7% 75.6% DeepSearchQA w/ context management 80.5% 79.6% 81.1% General Capabilities AA-LCR 78.2% 79.4% 78.7% LongBench v2 67.5% 67.6% 67.2% IFBench 79.6% 80.7% 79.2% AA Omniscience (index) - public split only 10.8 8.8 9.8 submitted by /u/jacek2023 [link] [comments]
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Source: r/LocalLLaMA | 2026-10-16