# gemini-4-argon-contributor vs LongCat-2.0 - AI Model Comparison

- Page: https://opencode.ai/data/compare/google/gemini-4-argon-contributor/meituan/longcat-2-0
- Updated: 2026-10-28T15:06:50.000Z

|  | gemini-4-argon-contributor | LongCat-2.0 |
| --- | --- | --- |
| Lab | Google | Meituan |
| Context window | - | 1M |
| Max output | - | 131K |
| Input modalities | - | text |
| Reasoning | - | Yes |
| Tool calling | - | Yes |
| Open weights | - | Yes |
| Release date | - | 2026-06-30 |
| Input price per 1M tokens | - | $0.75 |
| Output price per 1M tokens | - | $3.00 |
| Cached input price per 1M tokens | - | $0.01 |
| OpenCode tokens: past 2 months | 309B | 354B |
| Share of all tokens | 0.0% | 0.0% |
| Rank by tokens last week | #30 | #35 |
| Unique users | 32K | 54K |
| Weekly retention | 61.5% | 64.3% |

Model pages: [gemini-4-argon-contributor](https://opencode.ai/data/google/gemini-4-argon-contributor.md), [LongCat-2.0](https://opencode.ai/data/meituan/longcat-2-0.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.