# Nemotron 3.5 Lightning 30B A3B vs beam - AI Model Comparison

- Page: https://opencode.ai/data/compare/nvidia/nemotron-3-5-lightning/reflection/beam
- Updated: 2026-10-18T05:41:03.000Z

|  | Nemotron 3.5 Lightning 30B A3B | beam |
| --- | --- | --- |
| Lab | NVIDIA | Reflection |
| Context window | 262K | - |
| Max output | 262K | - |
| Input modalities | text | - |
| Reasoning | Yes | - |
| Tool calling | Yes | - |
| Open weights | Yes | - |
| Release date | 2026-08-11 | - |
| Input price per 1M tokens | $0.05 | - |
| Output price per 1M tokens | $0.20 | - |
| Cached input price per 1M tokens | $0.01 | - |
| OpenCode tokens: past 2 months | 4.5T | 2.2T |
| Share of all tokens | 0.4% | 0.2% |
| Rank by tokens last week | #12 | #8 |
| Unique users | 266K | 55K |
| Weekly retention | - | - |

Model pages: [Nemotron 3.5 Lightning 30B A3B](https://opencode.ai/data/nvidia/nemotron-3-5-lightning.md), [beam](https://opencode.ai/data/reflection/beam.md)

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.