Reflection: Beam 1.0 501B A23B.
Beam 1.0 501B A23B is Reflection's Apache 2.0 mixture-of-experts model, text only with a 1M-token context, for coding, agents and reasoning, developed mainly for English.
2× AMD MI300X · $1.00/hr.
Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.
Cheapest hosted endpoints.
Cheapest hardware per quantisation.
Each row is one quantisation tier (the same weights compressed differently). Lower precision → lower VRAM → cheaper hardware, at the cost of small accuracy loss. $/hr refreshed hourly from each provider's API.
| Quantisation | Cheapest GPU config | Total VRAM | Live $/hr | tokens/sec | |
|---|---|---|---|---|---|
|
FP16
FP16 — half precision (default)
|
1536 GB | $4.00/hr | — | Compare → | |
|
FP8
FP8 — 8-bit float (Hopper / Blackwell)
|
768 GB | $2.00/hr | — | Compare → | |
|
INT4
INT4 — 4-bit integer (~4× VRAM saving)
|
384 GB | $1.00/hr | — | Compare → |
What it costs per month across providers.
Estimate your monthly bill for Reflection: Beam 1.0 501B A23B across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
Bill breakdown.
Rent the GPU instead of paying per token.
For an open-weights model like Reflection: Beam 1.0 501B A23B, you can rent a GPU and serve inference yourself. The math: cheapest GPU rental × 730 hours/month + your electricity rate × power draw.
Assumes the GPU runs 24/7 at ~85% utilisation. If your traffic is bursty, you'll pay less for the API and probably more for the GPU (idle hours still cost rental). The breakeven analysis lives on the Self-host vs API breakeven tool.
About Reflection: Beam 1.0 501B A23B.
Beam 1.0 501B A23B is an open model from Reflection, a sparse mixture-of-experts design with 501B total and 23B active parameters, under Apache 2.0. It takes and returns text only and was developed mainly for English. The context window is 1M tokens, and weights come in BF16, FP8 and NVFP4. Reflection built it for agentic tool use, coding and reasoning with fewer reasoning tokens. Its knowledge cutoff is June 30, 2026.