# Qwen3.8 Max vs Ling 3.1 Flash - AI Model Comparison

- Page: https://opencode.ai/data/compare/alibaba/qwen3-8-max/inclusionai/ling-3-1-flash
- Updated: 2026-10-05T08:40:07.000Z

|  | Qwen3.8 Max | Ling 3.1 Flash |
| --- | --- | --- |
| Lab | Alibaba | inclusionAI |
| Context window | 1M | 262K |
| Max output | 131K | 33K |
| Input modalities | text, image, video, pdf | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | No |
| Release date | 2026-08-03 | 2026-09-29 |
| Input price per 1M tokens | $2.00 | $0.00 |
| Output price per 1M tokens | $6.00 | $0.00 |
| Cached input price per 1M tokens | $0.25 | - |
| OpenCode tokens: past 2 months | 341B | 59B |
| Share of all tokens | 0.0% | 0.0% |
| Rank by tokens last week | #27 | #23 |
| Unique users | 156K | 7.2K |
| Weekly retention | 44.2% | - |

Model pages: [Qwen3.8 Max](https://opencode.ai/data/alibaba/qwen3-8-max.md), [Ling 3.1 Flash](https://opencode.ai/data/inclusionai/ling-3-1-flash.md)

## 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.