# Gemini 4 Argon vs MiMo-V2.5-Pro - AI Model Comparison

- Page: https://opencode.ai/data/compare/google/gemini-4-argon/xiaomi/mimo-v2-5-pro
- Updated: 2026-10-25T12:33:40.000Z

|  | Gemini 4 Argon | MiMo-V2.5-Pro |
| --- | --- | --- |
| Lab | Google | Xiaomi |
| Context window | 1M | 1M |
| Max output | 66K | 131K |
| Input modalities | text, image, video, audio, pdf | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-10-13 | 2026-04-22 |
| Input price per 1M tokens | $2.00 | $0.43 |
| Output price per 1M tokens | $10.00 | $0.87 |
| Cached input price per 1M tokens | $0.10 | $0.0036 |
| OpenCode tokens: past 2 months | 9.5B | 766B |
| Share of all tokens | 0% | 0.1% |
| Rank by tokens last week | #41 | #39 |
| Unique users | 2.5K | 83K |
| Weekly retention | - | 63.6% |

Model pages: [Gemini 4 Argon](https://opencode.ai/data/google/gemini-4-argon.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.