# Poolside AI Model Usage & Rankings | OpenCode Data

> Poolside models processed 794B tokens across OpenCode over the past two months, 0.1% of all usage. Laguna S 2.1 was the most-used Poolside model.

Poolside builds open-weight foundation models and the systems that refine and improve them.

- Page: https://opencode.ai/data/poolside
- JSON: https://opencode.ai/data/poolside.json
- Updated: 2026-10-02T22:29:03.000Z
- Tokens processed: past 2 months: 794B
- Share of all usage: 0.1%

## Poolside models

| Model | Tokens: past 2 months | Share of lab usage | Context window | Max output | Release date |
| --- | --- | --- | --- | --- | --- |
| [Laguna S 2.1](https://opencode.ai/data/poolside/laguna-s-2-1.md) | 794B | 100% | 1M | 33K | 2026-07-21 |
| [Laguna XS 2.1](https://opencode.ai/data/poolside/laguna-xs-2-1.md) | - | - | 262K | 33K | 2026-07-02 |
| [Laguna XS.2](https://opencode.ai/data/poolside/laguna-xs-2.md) | - | - | 262K | 33K | 2026-04-28 |
| [Laguna M.1](https://opencode.ai/data/poolside/laguna-m-1.md) | - | - | 262K | 33K | 2026-04-28 |

## Daily usage: past 2 months

| Date | Tokens | Unique users |
| --- | --- | --- |
| 2026-08-16 | 77B | 4K |
| 2026-08-17 | 52B | 5.6K |
| 2026-08-18 | 53B | 4.3K |
| 2026-08-19 | 74B | 5K |
| 2026-08-20 | 51B | 3.8K |
| 2026-08-21 | 46B | 4.5K |
| 2026-08-22 | 31B | 3.8K |
| 2026-08-23 | 31B | 3.8K |
| 2026-08-24 | 43B | 3.7K |
| 2026-08-25 | 34B | 3.9K |
| 2026-08-26 | 34B | 4.3K |
| 2026-08-27 | 33B | 4.6K |
| 2026-08-28 | 28B | 4.2K |
| 2026-08-29 | 24B | 3.7K |
| 2026-08-30 | 26B | 4.2K |
| 2026-08-31 | 30B | 4K |
| 2026-09-01 | 33B | 3.8K |
| 2026-09-02 | 32B | 3.8K |
| 2026-09-03 | 30B | 4.2K |
| 2026-09-04 | 28B | 4K |
| 2026-09-05 | 4.6B | 1.1K |
| 2026-09-06 | 0 | 0 |
| 2026-09-07 | 0 | 0 |
| 2026-09-08 | 0 | 0 |
| 2026-09-09 | 0 | 0 |
| 2026-09-10 | 0 | 0 |
| 2026-09-11 | 0 | 0 |
| 2026-09-12 | 0 | 0 |
| 2026-09-13 | 0 | 0 |
| 2026-09-14 | 0 | 0 |
| 2026-09-15 | 0 | 0 |
| 2026-09-16 | 0 | 0 |
| 2026-09-17 | 0 | 0 |
| 2026-09-18 | 0 | 0 |
| 2026-09-19 | 0 | 0 |
| 2026-09-20 | 0 | 0 |
| 2026-09-21 | 0 | 0 |
| 2026-09-22 | 0 | 0 |
| 2026-09-23 | 0 | 0 |
| 2026-09-24 | 0 | 0 |
| 2026-09-25 | 0 | 0 |
| 2026-09-26 | 0 | 0 |
| 2026-09-27 | 0 | 0 |
| 2026-09-28 | 0 | 0 |
| 2026-09-29 | 0 | 0 |
| 2026-09-30 | 0 | 0 |
| 2026-10-01 | 0 | 0 |
| 2026-10-02 | 0 | 0 |
| 2026-10-03 | 0 | 0 |
| 2025-10-04 | 0 | 0 |
| 2025-10-05 | 0 | 0 |
| 2025-10-06 | 0 | 0 |
| 2025-10-07 | 0 | 0 |
| 2025-10-08 | 0 | 0 |
| 2025-10-09 | 0 | 0 |
| 2025-10-10 | 0 | 0 |

## 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.