# DeepReinforce AI Model Usage & Rankings | OpenCode Data

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

## DeepReinforce models

| Model | Tokens: past 2 months | Share of lab usage | Context window | Max output | Release date |
| --- | --- | --- | --- | --- | --- |
| [Ornith 1.5 35B A3B](https://opencode.ai/data/deepreinforce/ornith-1-5-35b-a3b.md) | - | - | 262K | - | 2026-08-18 |
| [Ornith 1.0 397B](https://opencode.ai/data/deepreinforce/ornith-1-0-397b.md) | - | - | 262K | - | 2026-06-25 |
| [Ornith 1.0 35B](https://opencode.ai/data/deepreinforce/ornith-1-0-35b.md) | - | - | 262K | - | 2026-06-25 |
| [Ornith 1.0 31B](https://opencode.ai/data/deepreinforce/ornith-1-0-31b.md) | - | - | 262K | - | 2026-06-25 |
| [Ornith 1.0 9B](https://opencode.ai/data/deepreinforce/ornith-1-0-9b.md) | - | - | 262K | - | 2026-06-25 |

## 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.