Reflection: Beam 1.0 501B A23B API Pricing
Reflection: Beam 1.0 501B A23B costs $0.300 per 1M input tokens and $1.00 per 1M output tokens (cache reads: $0.040). Context window: 1.0M. Prices verified 2026-10-21 · source
Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.
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From our own daily snapshot archive — independent of provider announcements.
Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $0.300 | — |
| Cache read | $0.040 | −87% |
| Output | $1.00 | — |
Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.
Higher effort = deeper thinking = more reasoning tokens billed as output.
Training data ends here — newer events require retrieval or web search.
What would Reflection: Beam 1.0 501B A23B cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $6.40 |
| Coding agent | 5,000 | 8,000 / 2,000 | $22.00 |
| RAG pipeline | 30,000 | 4,000 / 500 | $51.00 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $14.00 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About Reflection: Beam 1.0 501B A23B
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...
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Frequently asked questions
How much does Reflection: Beam 1.0 501B A23B cost?
Reflection: Beam 1.0 501B A23B costs $0.300 per 1M input tokens and $1.00 per 1M output tokens; cached input tokens cost $0.040 per 1M. Verified 2026-10-21 — provider source.
What is the context window?
1.0M tokens, with up to 944K output tokens per response. That's roughly 1311 pages of text in a single request.
Does it support prompt caching?
Yes — cached input is $0.040/1M, about 87% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
ScaleDown: Summarize saves about 94% on a typical workload with comparable quality.
Official resources
- Reflection: Beam 1.0 501B A23B on OpenRouter — live endpoint, pricing source of record.
- Artificial Analysis leaderboard → — independent intelligence and performance rankings.
- Shred your current bill — paste a CSV and see if switching saves money.