# Ling 3.0 Flash Fin vs MiMo-V2.5-Pro - AI Model Comparison

- Page: https://opencode.ai/data/compare/inclusionai/ling-3-0-flash-fin/xiaomi/mimo-v2-5-pro
- Updated: 2026-10-04T06:45:40.000Z

|  | Ling 3.0 Flash Fin | MiMo-V2.5-Pro |
| --- | --- | --- |
| Lab | inclusionAI | Xiaomi |
| Context window | 262K | 1M |
| Max output | 33K | 131K |
| Input modalities | text | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-08-27 | 2026-04-22 |
| Input price per 1M tokens | $0.07 | $0.47 |
| Output price per 1M tokens | $0.22 | $0.94 |
| Cached input price per 1M tokens | $0.01 | $0.0050 |
| OpenCode tokens: past 2 months | 2.4T | 1.5T |
| Share of all tokens | 0.3% | 0.2% |
| Rank by tokens last week | #23 | #25 |
| Unique users | 133K | 144K |
| Weekly retention | - | 60.1% |

Model pages: [Ling 3.0 Flash Fin](https://opencode.ai/data/inclusionai/ling-3-0-flash-fin.md), [MiMo-V2.5-Pro](https://opencode.ai/data/xiaomi/mimo-v2-5-pro.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.
