# DeepSeek V4 Flash vs Nano Banana 2.1 - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-flash/google/gemini-nano-banana-2-1
- Updated: 2026-10-09T01:24:05.000Z

|  | DeepSeek V4 Flash | Nano Banana 2.1 |
| --- | --- | --- |
| Lab | DeepSeek | Google |
| Context window | 1M | 131K |
| Max output | 384K | 33K |
| Input modalities | text | text, image, video |
| Reasoning | Yes | Yes |
| Tool calling | Yes | No |
| Open weights | Yes | No |
| Release date | 2026-04-24 | 2026-10-06 |
| Input price per 1M tokens | $0.30 | $1.50 |
| Output price per 1M tokens | $1.20 | $7.50 |
| Cached input price per 1M tokens | $0.0060 | - |
| OpenCode tokens: past 2 months | 184T | - |
| Share of all tokens | 19% | - |
| Rank by tokens last week | #5 | - |
| Unique users | 3.5M | - |
| Weekly retention | 62.5% | - |

Model pages: [DeepSeek V4 Flash](https://opencode.ai/data/deepseek/deepseek-v4-flash.md), [Nano Banana 2.1](https://opencode.ai/data/google/gemini-nano-banana-2-1.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.