# Alibaba AI Model Usage & Rankings | OpenCode Data

> Alibaba models processed 3.7T tokens across OpenCode over the past two months, 0.4% of all usage. Qwen3.8 Flash was the most-used Alibaba model.

Alibaba's Qwen lab builds open and hosted multilingual models spanning reasoning, code, vision, audio, and agent workflows.

- Page: https://opencode.ai/data/alibaba
- JSON: https://opencode.ai/data/alibaba.json
- Updated: 2026-10-02T08:39:37.000Z
- Tokens processed: past 2 months: 3.7T
- Share of all usage: 0.4%

## Alibaba models

| Model | Tokens: past 2 months | Share of lab usage | Context window | Max output | Release date |
| --- | --- | --- | --- | --- | --- |
| [Qwen 3.8 Max Prime](https://opencode.ai/data/alibaba/qwen3-8-max-prime.md) | - | - | 1M | 131K | 2026-09-23 |
| [Qwen3.8 Omni Flash](https://opencode.ai/data/alibaba/qwen3-8-omni-flash.md) | - | - | 1M | 131K | 2026-09-17 |
| [Qwen-Image-2.1](https://opencode.ai/data/alibaba/qwen-image-2-1.md) | - | - | 8.2K | 0 | 2026-09-14 |
| [Qwen3.8 Max 0902](https://opencode.ai/data/alibaba/qwen3-8-max-0902.md) | - | - | 1M | 131K | 2026-09-02 |
| [Qwen3.8 Flash Next](https://opencode.ai/data/alibaba/qwen3-8-flash-next.md) | - | - | 262K | 131K | 2026-08-27 |
| [Qwen3.8 Flash](https://opencode.ai/data/alibaba/qwen3-8-flash.md) | 2T | 55% | 1M | 131K | 2026-08-26 |
| [Qwen3.8 27B](https://opencode.ai/data/alibaba/qwen3-8-27b.md) | 186M | 0.0% | 262K | 33K | 2026-08-14 |
| [Qwen3.8 2.4T A95B](https://opencode.ai/data/alibaba/qwen3-8-2-4t-a95b.md) | - | - | 262K | 131K | 2026-08-12 |
| [Qwen3.8 Max](https://opencode.ai/data/alibaba/qwen3-8-max.md) | 351B | 9.6% | 1M | 131K | 2026-08-03 |
| [Qwen3.8 Max Preview](https://opencode.ai/data/alibaba/qwen3-8-max-preview.md) | - | - | 1M | 131K | 2026-07-19 |
| [Qwen3.7 Flash](https://opencode.ai/data/alibaba/qwen3-7-flash.md) | - | - | 1M | 131K | 2026-07-15 |
| [Qwen3.7 Plus](https://opencode.ai/data/alibaba/qwen3-7-plus.md) | 1.1T | 29% | 1M | 64K | 2026-06-02 |
| [Qwen3.7 Max](https://opencode.ai/data/alibaba/qwen3-7-max.md) | 89B | 2.4% | 1M | 66K | 2026-05-21 |
| [Qwen3.6 Flash](https://opencode.ai/data/alibaba/qwen3-6-flash.md) | - | - | 1M | 66K | 2026-04-27 |
| [Qwen3.6 27B](https://opencode.ai/data/alibaba/qwen3-6-27b.md) | - | - | 262K | 66K | 2026-04-22 |
| [Qwen3.6 Max Preview](https://opencode.ai/data/alibaba/qwen3-6-max-preview.md) | - | - | 262K | 66K | 2026-04-20 |
| [Qwen3.6 35B-A3B](https://opencode.ai/data/alibaba/qwen3-6-35b-a3b.md) | - | - | 262K | 66K | 2026-04-17 |
| [Qwen3.6 Plus](https://opencode.ai/data/alibaba/qwen3-6-plus.md) | 126B | 3.4% | 1M | 66K | 2026-04-02 |
| [Qwen3.5 Flash](https://opencode.ai/data/alibaba/qwen3-5-flash.md) | - | - | 1M | 66K | 2026-02-23 |
| [Qwen3.5 27B](https://opencode.ai/data/alibaba/qwen3-5-27b.md) | - | - | 262K | 66K | 2026-02-23 |
| [Qwen3.5 122B-A10B](https://opencode.ai/data/alibaba/qwen3-5-122b-a10b.md) | - | - | 262K | 66K | 2026-02-23 |
| [Qwen3.5 9B](https://opencode.ai/data/alibaba/qwen3-5-9b.md) | - | - | 262K | 66K | 2026-02-23 |
| [Qwen3.5 35B-A3B](https://opencode.ai/data/alibaba/qwen3-5-35b-a3b.md) | - | - | 262K | 66K | 2026-02-23 |
| [Qwen3.5 Plus](https://opencode.ai/data/alibaba/qwen3-5-plus.md) | 14B | 0.4% | 1M | 66K | 2026-02-16 |
| [Qwen3.5 397B-A17B](https://opencode.ai/data/alibaba/qwen3-5-397b-a17b.md) | - | - | 262K | 66K | 2026-02-15 |
| [Qwen3 Coder Next](https://opencode.ai/data/alibaba/qwen3-coder-next.md) | - | - | 262K | 66K | 2026-02-03 |
| [Qwen3 VL 235B A22B Instruct](https://opencode.ai/data/alibaba/qwen3-vl-235b-a22b-instruct.md) | - | - | 131K | 33K | 2025-09-23 |
| [Qwen3 VL 235B A22B Thinking](https://opencode.ai/data/alibaba/qwen3-vl-235b-a22b-thinking.md) | - | - | 131K | 33K | 2025-09-23 |
| [Qwen3-VL Plus](https://opencode.ai/data/alibaba/qwen3-vl-plus.md) | - | - | 262K | 33K | 2025-09-23 |
| [Qwen3 Max](https://opencode.ai/data/alibaba/qwen3-max.md) | - | - | 262K | 66K | 2025-09-23 |
| [Qwen3-Next 80B-A3B (Thinking)](https://opencode.ai/data/alibaba/qwen3-next-80b-a3b-thinking.md) | - | - | 131K | 33K | 2025-09 |
| [Qwen3-Next 80B-A3B Instruct](https://opencode.ai/data/alibaba/qwen3-next-80b-a3b-instruct.md) | - | - | 131K | 33K | 2025-09 |
| [Qwen Flash](https://opencode.ai/data/alibaba/qwen-flash.md) | - | - | 1M | 33K | 2025-07-28 |
| [Qwen3 Coder Flash](https://opencode.ai/data/alibaba/qwen3-coder-flash.md) | - | - | 1M | 66K | 2025-07-28 |
| [Qwen3 Coder Plus](https://opencode.ai/data/alibaba/qwen3-coder-plus.md) | - | - | 1M | 66K | 2025-07-23 |
| [Qwen3 235B-A22B Instruct 2507](https://opencode.ai/data/alibaba/qwen3-235b-a22b-instruct-2507.md) | - | - | 262K | 16K | 2025-07-21 |
| [Qwen3 30B A3B](https://opencode.ai/data/alibaba/qwen3-30b-a3b.md) | - | - | 131K | 16K | 2025-04-28 |
| [Qwen3 32B](https://opencode.ai/data/alibaba/qwen3-32b.md) | - | - | 131K | 16K | 2025-04 |
| [Qwen3-Coder 480B-A35B Instruct](https://opencode.ai/data/alibaba/qwen3-coder-480b-a35b-instruct.md) | - | - | 262K | 66K | 2025-04 |
| [Qwen3-Coder 30B-A3B Instruct](https://opencode.ai/data/alibaba/qwen3-coder-30b-a3b-instruct.md) | - | - | 262K | 66K | 2025-04 |
| [Qwen3 235B-A22B](https://opencode.ai/data/alibaba/qwen3-235b-a22b.md) | - | - | 131K | 16K | 2025-04 |
| [QwQ Plus](https://opencode.ai/data/alibaba/qwq-plus.md) | - | - | 131K | 8.2K | 2025-03-05 |
| [QwQ 32B](https://opencode.ai/data/alibaba/qwq-32b.md) | - | - | 131K | 8.2K | 2025-03-05 |
| [Qwen-Omni Turbo](https://opencode.ai/data/alibaba/qwen-omni-turbo.md) | - | - | 33K | 2K | 2025-01-19 |
| [Qwen2.5-Coder-32B-Instruct](https://opencode.ai/data/alibaba/qwen2-5-coder-32b-instruct.md) | - | - | 131K | 8.2K | 2024-11-12 |
| [Qwen2.5-Coder-0.5B](https://opencode.ai/data/alibaba/qwen2-5-coder-0-5b.md) | - | - | 33K | 8.2K | 2024-11-12 |
| [Qwen Turbo](https://opencode.ai/data/alibaba/qwen-turbo.md) | - | - | 1M | 16K | 2024-11-01 |
| [Qwen2.5-VL 72B Instruct](https://opencode.ai/data/alibaba/qwen2-5-vl-72b-instruct.md) | - | - | 131K | 8.2K | 2024-09 |
| [Qwen-VL Max](https://opencode.ai/data/alibaba/qwen-vl-max.md) | - | - | 131K | 8.2K | 2024-04-08 |
| [Qwen Max](https://opencode.ai/data/alibaba/qwen-max.md) | - | - | 33K | 8.2K | 2024-04-03 |
| [Qwen Plus](https://opencode.ai/data/alibaba/qwen-plus.md) | - | - | 1M | 33K | 2024-01-25 |
| [Qwen-VL Plus](https://opencode.ai/data/alibaba/qwen-vl-plus.md) | - | - | 131K | 8.2K | 2024-01-25 |

## Daily usage: past 2 months

| Date | Tokens | Unique users |
| --- | --- | --- |
| 2026-08-08 | 33B | 13K |
| 2026-08-09 | 29B | 12K |
| 2026-08-10 | 43B | 17K |
| 2026-08-11 | 46B | 21K |
| 2026-08-12 | 61B | 17K |
| 2026-08-13 | 56B | 17K |
| 2026-08-14 | 50B | 17K |
| 2026-08-15 | 35B | 15K |
| 2026-08-16 | 22B | 16K |
| 2026-08-17 | 23B | 23K |
| 2026-08-18 | 46B | 19K |
| 2026-08-19 | 58B | 19K |
| 2026-08-20 | 50B | 17K |
| 2026-08-21 | 48B | 17K |
| 2026-08-22 | 34B | 11K |
| 2026-08-23 | 31B | 9.7K |
| 2026-08-24 | 51B | 15K |
| 2026-08-25 | 48B | 13K |
| 2026-08-26 | 47B | 12K |
| 2026-08-27 | 42B | 11K |
| 2026-08-28 | 70B | 13K |
| 2026-08-29 | 76B | 10K |
| 2026-08-30 | 72B | 9.8K |
| 2026-08-31 | 112B | 15K |
| 2026-09-01 | 136B | 15K |
| 2026-09-02 | 139B | 14K |
| 2026-09-03 | 135B | 15K |
| 2026-09-04 | 119B | 13K |
| 2026-09-05 | 78B | 9.7K |
| 2026-09-06 | 74B | 9.2K |
| 2026-09-07 | 117B | 13K |
| 2026-09-08 | 122B | 13K |
| 2026-09-09 | 118B | 12K |
| 2026-09-10 | 94B | 13K |
| 2026-09-11 | 66B | 11K |
| 2026-09-12 | 50B | 8K |
| 2026-09-13 | 52B | 7.9K |
| 2026-09-14 | 78B | 12K |
| 2026-09-15 | 83B | 12K |
| 2026-09-16 | 73B | 12K |
| 2026-09-17 | 75B | 12K |
| 2026-09-18 | 69B | 11K |
| 2026-09-19 | 56B | 9.2K |
| 2026-09-20 | 53B | 9.1K |
| 2026-09-21 | 81B | 12K |
| 2026-09-22 | 75B | 12K |
| 2026-09-23 | 67B | 10K |
| 2026-09-24 | 64B | 9.4K |
| 2026-09-25 | 54B | 8.2K |
| 2026-09-26 | 47B | 7.3K |
| 2026-09-27 | 47B | 7.4K |
| 2026-09-28 | 66B | 9.3K |
| 2026-09-29 | 68B | 8.8K |
| 2026-09-30 | 61B | 8.1K |
| 2026-10-01 | 56B | 7.3K |
| 2026-10-02 | 15B | 3.4K |

## 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.