# OpenBMB AI Model Usage & Rankings | OpenCode Data

- Page: https://opencode.ai/data/openbmb
- JSON: https://opencode.ai/data/openbmb.json

## OpenBMB models

| Model | Tokens: past 2 months | Share of lab usage | Context window | Max output | Release date |
| --- | --- | --- | --- | --- | --- |
| [MiniCPM-V 4.7 35B-A3B](https://opencode.ai/data/openbmb/minicpm-v-4-7-35b-a3b.md) | - | - | 262K | 262K | 2026-10-07 |
| [MiniCPM-V 4.7 1B](https://opencode.ai/data/openbmb/minicpm-v-4-7-1b.md) | - | - | 262K | 262K | 2026-10-06 |
| [MiniCPM5-2B](https://opencode.ai/data/openbmb/minicpm5-2b.md) | - | - | 131K | 131K | 2026-09-06 |
| [MiniCPM5-1B](https://opencode.ai/data/openbmb/minicpm5-1b.md) | - | - | 131K | 131K | 2026-05-19 |

## 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.