← All posts · News
Reflection Beam ships 501B open weights under Apache 2.0
501B total, 23B active, 1M context. On RouterPlus from $0.25 input.
Reflection AI released the weights of Beam, its first open-weight model, on Hugging Face on October 16, 2026, under the Apache 2.0 license. Reflection first announced Beam on October 5.
What changed
- Beam is a sparse mixture-of-experts model with 501B total and 23B active parameters. The model card lists 501.3B and 23.4B.
- It takes text in and returns text, with a 1M-token context and a knowledge cutoff of June 30, 2026.
- Reflection says it pretrained Beam on 23.8 trillion tokens.
- Weights ship in BF16, FP8 and NVFP4, plus a speculative decoding drafter. The main repository is
reflection/Beam-1.0-501B-A23B. - Reflection's own API at platform.reflection.ai is a public beta that Reflection says is free to start.
Benchmarks reported by Reflection
Scores for the BF16 checkpoint, as reported in Reflection's model card:
| Benchmark | Beam (BF16) |
|---|---|
| SWE-bench Verified | 81.6% |
| Terminal Bench v2.1 | 80.1% |
| GPQA Diamond | 90.6% |
| MCP Atlas | 80.8% |
Beam on RouterPlus
RouterPlus lists reflection/beam-1.0-501b-a23b on 1 provider. Prices per million tokens, from the live catalog on October 31, 2026:
| Provider | Input | Cached input | Output |
|---|---|---|---|
| Nebius | $0.25 | $0.05 | $1.00 |
What to do
- To call it through RouterPlus, sign up at app.routerplus.com/login and use the model ID
reflection/beam-1.0-501b-a23bwith the base URLhttps://api.routerplus.com/v1. - To self-host, the weights are on Hugging Face under Apache 2.0.
Browse every model and price: RouterPlus models.