# Tencent AI Model Usage & Rankings | OpenCode Data

> Tencent models processed 7.2T tokens across OpenCode over the past two months, 0.8% of all usage. Hy3 was the most-used Tencent model.

Tencent's Hy and Hunyuan work centers on large open MoE models for reasoning, coding, long context, and agent workflows.

- Page: https://opencode.ai/data/tencent
- JSON: https://opencode.ai/data/tencent.json
- Updated: 2026-10-02T07:36:56.000Z
- Tokens processed: past 2 months: 7.2T
- Share of all usage: 0.8%

## Tencent models

| Model | Tokens: past 2 months | Share of lab usage | Context window | Max output | Release date |
| --- | --- | --- | --- | --- | --- |
| [Hy4 preview](https://opencode.ai/data/tencent/hy4-preview.md) | 320B | 4.5% | 1M | 64K | 2026-08-28 |
| [Hy3](https://opencode.ai/data/tencent/hy3.md) | 6.9T | 96% | 256K | 128K | 2026-07-06 |
| [Hy3 preview](https://opencode.ai/data/tencent/hy3-preview.md) | - | - | 256K | 64K | 2026-04-20 |

## Daily usage: past 2 months

| Date | Tokens | Unique users |
| --- | --- | --- |
| 2026-08-08 | 4.8B | 1.7K |
| 2026-08-09 | 4.1B | 1.5K |
| 2026-08-10 | 5.6B | 2K |
| 2026-08-11 | 4.9B | 2.6K |
| 2026-08-12 | 125B | 7.7K |
| 2026-08-13 | 150B | 8.1K |
| 2026-08-14 | 148B | 8.1K |
| 2026-08-15 | 145B | 7.4K |
| 2026-08-16 | 138B | 7.1K |
| 2026-08-17 | 162B | 10K |
| 2026-08-18 | 167B | 9.8K |
| 2026-08-19 | 197B | 13K |
| 2026-08-20 | 276B | 18K |
| 2026-08-21 | 446B | 23K |
| 2026-08-22 | 364B | 17K |
| 2026-08-23 | 374B | 17K |
| 2026-08-24 | 473B | 22K |
| 2026-08-25 | 497B | 21K |
| 2026-08-26 | 579B | 25K |
| 2026-08-27 | 810B | 29K |
| 2026-08-28 | 757B | 26K |
| 2026-08-29 | 676B | 22K |
| 2026-08-30 | 147B | 10K |
| 2026-08-31 | 64B | 6.7K |
| 2026-09-01 | 54B | 5.7K |
| 2026-09-02 | 46B | 5.3K |
| 2026-09-03 | 37B | 4.8K |
| 2026-09-04 | 31B | 3.7K |
| 2026-09-05 | 20B | 2.8K |
| 2026-09-06 | 21B | 2.6K |
| 2026-09-07 | 26B | 3.6K |
| 2026-09-08 | 25B | 3K |
| 2026-09-09 | 24B | 2.7K |
| 2026-09-10 | 18B | 3.1K |
| 2026-09-11 | 13B | 2.5K |
| 2026-09-12 | 10B | 2K |
| 2026-09-13 | 9.4B | 2K |
| 2026-09-14 | 15B | 2.7K |
| 2026-09-15 | 14B | 2.7K |
| 2026-09-16 | 11B | 2.6K |
| 2026-09-17 | 12B | 2.7K |
| 2026-09-18 | 12B | 2.4K |
| 2026-09-19 | 9.2B | 2K |
| 2026-09-20 | 8.9B | 1.9K |
| 2026-09-21 | 11B | 2.4K |
| 2026-09-22 | 11B | 2.5K |
| 2026-09-23 | 9B | 2.1K |
| 2026-09-24 | 7.5B | 1.9K |
| 2026-09-25 | 5.1B | 1.6K |
| 2026-09-26 | 4.1B | 1.5K |
| 2026-09-27 | 3.6B | 1.6K |
| 2026-09-28 | 5.5B | 2K |
| 2026-09-29 | 5.3B | 2K |
| 2026-09-30 | 5.5B | 1.8K |
| 2026-10-01 | 4.5B | 1.6K |
| 2026-10-02 | 1.2B | 540 |

## 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.