# DeepSeek V4 Flash vs Llama 4 Scout 17B Instruct - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-flash/meta/llama-4-scout-17b-instruct
- Updated: 2026-10-12T19:00:56.000Z

|  | DeepSeek V4 Flash | Llama 4 Scout 17B Instruct |
| --- | --- | --- |
| Lab | DeepSeek | Meta |
| Context window | 1M | 10M |
| Max output | 384K | 16K |
| Input modalities | text | text, image |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Open weights | Yes | Yes |
| Release date | 2026-04-24 | 2025-04-05 |
| Input price per 1M tokens | $0.30 | $0.18 |
| Output price per 1M tokens | $1.20 | $0.59 |
| Cached input price per 1M tokens | $0.0060 | - |
| OpenCode tokens: past 2 months | 145T | - |
| Share of all tokens | 15% | - |
| Rank by tokens last week | #5 | - |
| Unique users | 3.1M | - |
| Weekly retention | 69.3% | - |

Model pages: [DeepSeek V4 Flash](https://opencode.ai/data/deepseek/deepseek-v4-flash.md), [Llama 4 Scout 17B Instruct](https://opencode.ai/data/meta/llama-4-scout-17b-instruct.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.