// Get open-weight models

Reflection Beam 1.0 501B-A23B

Reflection's open-weight reasoning model: sparse MoE, 501B total / 23B active, 1M context, mainly English; aimed at token-efficient coding and long-horizon agents (incl. MCP tools); BF16 / FP8 / NVFP4 weights. On OpenRouter since 2026-10-16 at ~$0.25–$1.3 input / $1.0–$4.3 output per 1M depending on provider

Open source Maintained For developers

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Reflection Beam 1.0 501B-A23B is reflection's open-weight reasoning model: sparse MoE, 501B total / 23B active, 1M context, mainly English; aimed at token-efficient coding and long-horizon agents (incl. MCP tools); BF16 / FP8 / NVFP4 weights. On OpenRouter since 2026-10-16 at ~$0.25–$1.3 input / $1.0–$4.3 output per 1M depending on provider.

Good for: Developers and teams who want to get open-weight models.

01How to start

1Read the official quick-start (link above).
2Install or sign up as the official guide describes.
3Try it on a small example before wiring it into a project.

02Alternatives & comparison

Compare side by side →

DeepSeek-V3 Open-weight models ★ 105k Qwen3 Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud. ★ 28k gpt-oss gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI ★ 20k Qwen3-Coder Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team. ★ 17k Kimi-K2 Kimi K2 is the large language model series developed by Moonshot AI team ★ 11k

Versions, why it is listed, for AI to read

For AI agents

Interfaces：its own app or website
Machine-readable record：/api/v1/software/reflection-beam-1-0.json · llms.txt
Added 2026-10-19