# Nano Banana 2.1 vs LongCat-2.0 - AI Model Comparison

- Page: https://opencode.ai/data/compare/google/gemini-nano-banana-2-1/meituan/longcat-2-0
- Updated: 2026-10-09T01:24:05.000Z

|  | Nano Banana 2.1 | LongCat-2.0 |
| --- | --- | --- |
| Lab | Google | Meituan |
| Context window | 131K | 1M |
| Max output | 33K | 131K |
| Input modalities | text, image, video | text |
| Reasoning | Yes | Yes |
| Tool calling | No | Yes |
| Open weights | No | No |
| Release date | 2026-10-06 | 2026-06-30 |
| Input price per 1M tokens | $1.50 | $0.30 |
| Output price per 1M tokens | $7.50 | $1.20 |
| Cached input price per 1M tokens | - | $0.0060 |
| OpenCode tokens: past 2 months | - | 441B |
| Share of all tokens | - | 0.1% |
| Rank by tokens last week | - | #30 |
| Unique users | - | 48K |
| Weekly retention | - | 63.0% |

Model pages: [Nano Banana 2.1](https://opencode.ai/data/google/gemini-nano-banana-2-1.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.