# Llama 4 Scout 17B Instruct vs Grok 4.6 - AI Model Comparison

- Page: https://opencode.ai/data/compare/meta/llama-4-scout-17b-instruct/xai/grok-4-6
- Updated: 2026-10-25T13:34:43.000Z

|  | Llama 4 Scout 17B Instruct | Grok 4.6 |
| --- | --- | --- |
| Lab | Meta | xAI |
| Context window | 10M | 500K |
| Max output | 16K | 500K |
| Input modalities | text, image | text, image |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | No |
| Release date | 2025-04-05 | 2026-08-12 |
| Input price per 1M tokens | $0.18 | $2.00 |
| Output price per 1M tokens | $0.59 | $6.00 |
| Cached input price per 1M tokens | - | $0.50 |
| OpenCode tokens: past 2 months | - | 67B |
| Share of all tokens | - | 0.0% |
| Rank by tokens last week | - | #48 |
| Unique users | - | 58K |
| Weekly retention | - | 41.3% |

Model pages: [Llama 4 Scout 17B Instruct](https://opencode.ai/data/meta/llama-4-scout-17b-instruct.md), [Grok 4.6](https://opencode.ai/data/xai/grok-4-6.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.