# DeepSeek V4 Pro vs Ling 3.0 Flash Fin - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-pro/inclusionai/ling-3-0-flash-fin
- Updated: 2026-10-02T08:39:37.000Z

|  | DeepSeek V4 Pro | Ling 3.0 Flash Fin |
| --- | --- | --- |
| Lab | DeepSeek | inclusionAI |
| Context window | 1M | 262K |
| Max output | 384K | 33K |
| Input modalities | text | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | No |
| Release date | 2026-04-24 | 2026-08-27 |
| Input price per 1M tokens | $1.74 | $0.07 |
| Output price per 1M tokens | $3.48 | $0.22 |
| Cached input price per 1M tokens | $0.20 | $0.01 |
| OpenCode tokens: past 2 months | 17T | 2.4T |
| Share of all tokens | 1.9% | 0.3% |
| Rank by tokens last week | #13 | #16 |
| Unique users | 961K | 129K |
| Weekly retention | 56.1% | - |

Model pages: [DeepSeek V4 Pro](https://opencode.ai/data/deepseek/deepseek-v4-pro.md), [Ling 3.0 Flash Fin](https://opencode.ai/data/inclusionai/ling-3-0-flash-fin.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.