# DeepSeek V4 Flash vs GPT-5 Nano - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-flash/openai/gpt-5-nano
- Updated: 2026-11-06T10:11:45.000Z

|  | DeepSeek V4 Flash | GPT-5 Nano |
| --- | --- | --- |
| Lab | DeepSeek | OpenAI |
| Context window | 1M | 400K |
| Max output | 384K | 128K |
| Input modalities | text | text, image |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | No |
| Release date | 2026-04-24 | 2025-08-07 |
| Input price per 1M tokens | $0.09 | $0.05 |
| Output price per 1M tokens | $0.18 | $0.40 |
| Cached input price per 1M tokens | $0.02 | $0.0050 |
| OpenCode tokens: past 2 months | 52T | 5B |
| Share of all tokens | 3.9% | 0% |
| Rank by tokens last week | #42 | #40 |
| Unique users | 1.1M | 7.4K |
| Weekly retention | 60.3% | - |

Model pages: [DeepSeek V4 Flash](https://opencode.ai/data/deepseek/deepseek-v4-flash.md), [GPT-5 Nano](https://opencode.ai/data/openai/gpt-5-nano.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.