# Qwen Turbo vs DeepSeek V4.1 Flash - AI Model Comparison

- Page: https://opencode.ai/data/compare/alibaba/qwen-turbo/deepseek/deepseek-v4-1-flash
- Updated: 2026-10-02T09:36:21.000Z

|  | Qwen Turbo | DeepSeek V4.1 Flash |
| --- | --- | --- |
| Lab | Alibaba | DeepSeek |
| Context window | 1M | 1M |
| Max output | 16K | 384K |
| Input modalities | text | text, image |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2024-11-01 | 2026-09-10 |
| Input price per 1M tokens | $0.05 | $0.30 |
| Output price per 1M tokens | $0.20 | $1.20 |
| Cached input price per 1M tokens | - | $0.0060 |
| OpenCode tokens: past 2 months | 0 | 140T |
| Share of all tokens | 0% | 16% |
| Rank by tokens last week | - | #2 |
| Unique users | 0 | 1.2M |
| Weekly retention | - | 58.4% |

Model pages: [Qwen Turbo](https://opencode.ai/data/alibaba/qwen-turbo.md), [DeepSeek V4.1 Flash](https://opencode.ai/data/deepseek/deepseek-v4-1-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.