# Qwen3.8 27B vs Ling 3.1 Flash - AI Model Comparison

- Page: https://opencode.ai/data/compare/alibaba/qwen3-8-27b/inclusionai/ling-3-1-flash
- Updated: 2026-10-02T18:41:27.000Z

|  | Qwen3.8 27B | Ling 3.1 Flash |
| --- | --- | --- |
| Lab | Alibaba | inclusionAI |
| Context window | 262K | 262K |
| Max output | 33K | 33K |
| Input modalities | text, image, video | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | No |
| Release date | 2026-08-14 | 2026-09-29 |
| Input price per 1M tokens | $0.50 | $0.00 |
| Output price per 1M tokens | $3.00 | $0.00 |
| Cached input price per 1M tokens | $0.10 | - |
| OpenCode tokens: past 2 months | 186M | 1.4B |
| Share of all tokens | 0% | 0% |
| Rank by tokens last week | #47 | #40 |
| Unique users | 52 | 224 |
| Weekly retention | - | - |

Model pages: [Qwen3.8 27B](https://opencode.ai/data/alibaba/qwen3-8-27b.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.