# DeepSeek V4 Pro vs Gemini 4 Argon - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-pro/google/gemini-4-argon
- Updated: 2026-10-13T17:12:37.000Z

|  | DeepSeek V4 Pro | Gemini 4 Argon |
| --- | --- | --- |
| Lab | DeepSeek | Google |
| Context window | 1M | 1M |
| Max output | 384K | 66K |
| Input modalities | text | text, image, video, audio, pdf |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | No |
| Release date | 2026-04-24 | 2026-10-13 |
| Input price per 1M tokens | $1.74 | $4.00 |
| Output price per 1M tokens | $3.48 | $20.00 |
| Cached input price per 1M tokens | $0.20 | $0.20 |
| OpenCode tokens: past 2 months | 7.8T | - |
| Share of all tokens | 0.8% | - |
| Rank by tokens last week | #15 | - |
| Unique users | 630K | - |
| Weekly retention | 60.7% | - |

Model pages: [DeepSeek V4 Pro](https://opencode.ai/data/deepseek/deepseek-v4-pro.md), [Gemini 4 Argon](https://opencode.ai/data/google/gemini-4-argon.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.