# inclusionAI AI Model Usage & Rankings | OpenCode Data

> inclusionAI models processed 2.4T tokens across OpenCode over the past two months, 0.3% of all usage. Ling 3.0 Flash Fin was the most-used inclusionAI model.

- Page: https://opencode.ai/data/inclusionai
- JSON: https://opencode.ai/data/inclusionai.json
- Updated: 2026-10-02T09:36:21.000Z
- Tokens processed: past 2 months: 2.4T
- Share of all usage: 0.3%

## inclusionAI models

| Model | Tokens: past 2 months | Share of lab usage | Context window | Max output | Release date |
| --- | --- | --- | --- | --- | --- |
| [Ling 3.1 Flash](https://opencode.ai/data/inclusionai/ling-3-1-flash.md) | - | - | 262K | 33K | 2026-09-29 |
| [Ling 3.0 Flash Fin](https://opencode.ai/data/inclusionai/ling-3-0-flash-fin.md) | 2.4T | 100% | 262K | 33K | 2026-08-27 |

## Daily usage: past 2 months

| Date | Tokens | Unique users |
| --- | --- | --- |
| 2026-08-28 | 20B | 2.3K |
| 2026-08-29 | 56B | 4.1K |
| 2026-08-30 | 59B | 6.1K |
| 2026-08-31 | 59B | 6.7K |
| 2026-09-01 | 59B | 6K |
| 2026-09-02 | 58B | 5.5K |
| 2026-09-03 | 58B | 5.5K |
| 2026-09-04 | 60B | 5K |
| 2026-09-05 | 61B | 4.6K |
| 2026-09-06 | 60B | 4.5K |
| 2026-09-07 | 60B | 4.4K |
| 2026-09-08 | 61B | 4.1K |
| 2026-09-09 | 60B | 3.8K |
| 2026-09-10 | 59B | 3.6K |
| 2026-09-11 | 52B | 3.5K |
| 2026-09-12 | 57B | 3K |
| 2026-09-13 | 57B | 3.3K |
| 2026-09-14 | 85B | 3.9K |
| 2026-09-15 | 95B | 3.8K |
| 2026-09-16 | 96B | 3.9K |
| 2026-09-17 | 98B | 2.8K |
| 2026-09-18 | 98B | 3.2K |
| 2026-09-19 | 94B | 3.6K |
| 2026-09-20 | 101B | 3.1K |
| 2026-09-21 | 109B | 2.7K |
| 2026-09-22 | 110B | 2.9K |
| 2026-09-23 | 112B | 2.9K |
| 2026-09-24 | 103B | 2.8K |
| 2026-09-25 | 99B | 2.7K |
| 2026-09-26 | 96B | 2.4K |
| 2026-09-27 | 88B | 2.4K |
| 2026-09-28 | 72B | 2.7K |
| 2026-09-29 | 0 | 2.6K |
| 2026-09-30 | 0 | 2.1K |
| 2026-10-01 | 0 | 2K |
| 2026-10-02 | 0 | 663 |

## 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.