SIGNAL / MODELS

Reflection Beam 501B: model specs, license and benchmark limits

SOURCEReflection AI
PUBLISHEDOctober 16, 2026
LAYERModels
SIGNAL SCORE46/100

SXF VERIFIED BRIEF

Reflection's Beam 1.0 now has Apache 2.0 open weights available in BF16, FP8 and NVFP4 formats. Its published model card lists 501.3B total and 23.4B active parameters, text-only input/output and 1M-token context. That is more specific than the launch post's earlier promise to publish the weights.

WHY IT MATTERS

Teams investigating self-hosted coding and agents can examine published checkpoints, licensing and multiple numeric formats rather than depending solely on hosted API access. The 23.4B active-parameter figure describes activation per token, not the complete weight memory requirement. Reflection's own Terminal-Bench 2.1 table reports Beam 80.1 versus GLM 5.2 at 81.0 and GLM 5.3 at 88.2; this is one task-specific, vendor-reported comparison, not an independent global ranking.

WHAT TO VERIFY

Use the exact BF16, FP8 or NVFP4 checkpoint and test GPU memory, latency and long-context performance in the target serving stack. Reflection's 3–4x inference-compute claims are estimates excluding prefill and serving overhead; they are not measured production prices. No direct prior Beam release is supplied for a version-over-version comparison, and the model card labels the technical report as forthcoming.

PRIMARY-SOURCE FACTS

What the evidence establishes.

Reviewed 2026-10-18
Architecture

501.3B total / 23.4B active parameters; 1M-token context; text-only MoE with 256 experts. Primary evidence ↗

Weights and license

Apache 2.0 release in BF16, FP8 and NVFP4, documented by Reflection's Hugging Face model card. Primary evidence ↗

Vendor-run coding results

Reflection's Terminal-Bench 2.1 values: Beam 80.1, GLM 5.2 81.0, GLM 5.3 88.2. Primary evidence ↗

Compute comparison limits

Reflection reports 100M+ RL rollouts; the launch estimate of 3–4x inference efficiency excludes prefill and serving overhead. Primary evidence ↗

LIMITATIONS

No direct prior Beam generation is reported, and vendor-run benchmark comparisons may use different settings. Model context and active parameter counts do not establish actual deployment cost, GPU memory use or reliability.

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