# beam vs space-bunny - AI Model Comparison

- Page: https://opencode.ai/data/compare/reflection/beam/unknown/space-bunny
- Updated: 2026-10-19T04:35:05.000Z

|  | beam | space-bunny |
| --- | --- | --- |
| Lab | Reflection | Unknown |
| Context window | - | - |
| Max output | - | - |
| Input modalities | - | - |
| Reasoning | - | - |
| Tool calling | - | - |
| Open weights | - | - |
| Release date | - | - |
| Input price per 1M tokens | - | - |
| Output price per 1M tokens | - | - |
| Cached input price per 1M tokens | - | - |
| OpenCode tokens: past 2 months | 3T | 151T |
| Share of all tokens | 0.3% | 15% |
| Rank by tokens last week | #6 | #3 |
| Unique users | 67K | 781K |
| Weekly retention | - | 75.6% |

Model pages: [beam](https://opencode.ai/data/reflection/beam.md), [space-bunny](https://opencode.ai/data/unknown/space-bunny.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.