# Llama 3.2 1B Instruct vs Muse Ember - AI Model Comparison

- Page: https://opencode.ai/data/compare/meta/llama-3-2-1b-instruct/meta/muse-ember-1-0
- Updated: 2026-11-10T05:54:44.000Z

|  | Llama 3.2 1B Instruct | Muse Ember |
| --- | --- | --- |
| Lab | Meta | Meta |
| Context window | 131K | 1M |
| Max output | 32K | 524K |
| Input modalities | text | text, image, video, pdf, audio |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | No |
| Release date | 2024-09-25 | 2026-11-09 |
| Input price per 1M tokens | $0.01 | $0.10 |
| Output price per 1M tokens | $0.01 | $0.50 |
| Cached input price per 1M tokens | - | $0.0040 |
| OpenCode tokens: past 2 months | - | 2.2T |
| Share of all tokens | - | 0.2% |
| Rank by tokens last week | - | #7 |
| Unique users | - | 41K |
| Weekly retention | - | - |

Model pages: [Llama 3.2 1B Instruct](https://opencode.ai/data/meta/llama-3-2-1b-instruct.md), [Muse Ember](https://opencode.ai/data/meta/muse-ember-1-0.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.