Beam 1.0 501B A23B vs Llama-4-Maverick-17B-128E-Instruct-FP8
Both have similar output pricing, while Beam 1.0 501B A23B offers a larger context window. Choose Beam 1.0 501B A23B or Llama-4-Maverick-17B-128E-Instruct-FP8 based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | Beam 1.0 501B A23B | Llama-4-Maverick-17B-128E-Instruct-FP8 |
|---|---|---|
| Provider | Reflection | Vercel AI Gateway |
| Input / 1M tokens | $0.00 | $0.00 |
| Output / 1M tokens | $0.00 | $0.00 |
| Context window | 1M | 128K |
| Parameters | — | — |
| Open weights | — | Yes |
| Released | — | Apr 2025 |
| LMArena WebDev Elo score | 1438 | — |
| GPQA Diamond score | — | 67.0 |
| FrontierMath score | — | 0.7 |
FAQ
Is Beam 1.0 501B A23B or Llama-4-Maverick-17B-128E-Instruct-FP8 cheaper?
Beam 1.0 501B A23B and Llama-4-Maverick-17B-128E-Instruct-FP8 have comparable output pricing.
Which has the larger context window, Beam 1.0 501B A23B or Llama-4-Maverick-17B-128E-Instruct-FP8?
Beam 1.0 501B A23B has the larger context window (1M tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.