# Meta AI Model Usage & Rankings | OpenCode Data

> Meta models processed 187T tokens across OpenCode over the past two months, 21% of all usage. muse-spark-1.3-contributor was the most-used Meta model.

Meta's Llama program pushes open-weight AI, with multilingual and multimodal models designed for customization and broad deployment.

- Page: https://opencode.ai/data/meta
- JSON: https://opencode.ai/data/meta.json
- Updated: 2026-10-02T08:39:37.000Z
- Tokens processed: past 2 months: 187T
- Share of all usage: 21%

## Meta models

| Model | Tokens: past 2 months | Share of lab usage | Context window | Max output | Release date |
| --- | --- | --- | --- | --- | --- |
| [Muse Spark 1.3](https://opencode.ai/data/meta/muse-spark-1-3.md) | - | - | 1M | 131K | 2026-09-02 |
| [Muse Glimmer 30B](https://opencode.ai/data/meta/muse-glimmer-30b.md) | - | - | 131K | 131K | 2026-08-10 |
| [Muse Spark 1.2](https://opencode.ai/data/meta/muse-spark-1-2.md) | 30B | 0.0% | 1M | 131K | 2026-08-05 |
| [Muse Spark 1.1](https://opencode.ai/data/meta/muse-spark-1-1.md) | - | - | 1M | 131K | 2026-04-08 |
| [Llama 4 Maverick 17B Instruct](https://opencode.ai/data/meta/llama-4-maverick-17b-instruct.md) | - | - | 1M | 16K | 2025-04-05 |
| [Llama 4 Scout 17B Instruct](https://opencode.ai/data/meta/llama-4-scout-17b-instruct.md) | - | - | 10M | 16K | 2025-04-05 |
| [Llama-3.3-70B-Instruct](https://opencode.ai/data/meta/llama-3-3-70b-instruct.md) | - | - | 128K | 4.1K | 2024-12-06 |
| [Llama-3.2-1B](https://opencode.ai/data/meta/llama-3-2-1b.md) | - | - | 131K | 8.2K | 2024-09-25 |
| [Llama-3.2-11B-Vision-Instruct](https://opencode.ai/data/meta/llama-3-2-11b-vision-instruct.md) | - | - | 128K | 4.1K | 2024-09-25 |
| [Llama-3.2-3B](https://opencode.ai/data/meta/llama-3-2-3b.md) | - | - | 131K | 8.2K | 2024-09-25 |
| [Llama-Guard-3-8B](https://opencode.ai/data/meta/llama-guard-3-8b.md) | - | - | 128K | 4.1K | 2024-07-23 |
| [Llama-3.1-8B-Instruct](https://opencode.ai/data/meta/llama-3-1-8b-instruct.md) | - | - | 128K | 4.1K | 2024-07-23 |
| [Llama-3.1-70B-Instruct](https://opencode.ai/data/meta/llama-3-1-70b-instruct.md) | - | - | 128K | 4.1K | 2024-07-23 |

## Daily usage: past 2 months

| Date | Tokens | Unique users |
| --- | --- | --- |
| 2026-08-19 | 213B | 10K |
| 2026-08-20 | 925B | 18K |
| 2026-08-21 | 1.5T | 23K |
| 2026-08-22 | 1.2T | 17K |
| 2026-08-23 | 1.3T | 16K |
| 2026-08-24 | 1.4T | 16K |
| 2026-08-25 | 1.4T | 16K |
| 2026-08-26 | 1.7T | 20K |
| 2026-08-27 | 2.3T | 24K |
| 2026-08-28 | 2.1T | 22K |
| 2026-08-29 | 1.8T | 18K |
| 2026-08-30 | 1.9T | 19K |
| 2026-08-31 | 2.1T | 22K |
| 2026-09-01 | 2.3T | 22K |
| 2026-09-02 | 2.5T | 24K |
| 2026-09-03 | 4.8T | 43K |
| 2026-09-04 | 5.5T | 42K |
| 2026-09-05 | 5.4T | 36K |
| 2026-09-06 | 5.3T | 36K |
| 2026-09-07 | 5.3T | 43K |
| 2026-09-08 | 5.4T | 44K |
| 2026-09-09 | 6.4T | 43K |
| 2026-09-10 | 6.5T | 43K |
| 2026-09-11 | 5.7T | 41K |
| 2026-09-12 | 5.9T | 37K |
| 2026-09-13 | 4.9T | 38K |
| 2026-09-14 | 5.5T | 45K |
| 2026-09-15 | 5.6T | 45K |
| 2026-09-16 | 5.8T | 44K |
| 2026-09-17 | 6.3T | 39K |
| 2026-09-18 | 6.3T | 42K |
| 2026-09-19 | 5.1T | 41K |
| 2026-09-20 | 5.2T | 34K |
| 2026-09-21 | 5.9T | 43K |
| 2026-09-22 | 6.1T | 42K |
| 2026-09-23 | 6.3T | 40K |
| 2026-09-24 | 5.9T | 38K |
| 2026-09-25 | 5.4T | 34K |
| 2026-09-26 | 5.2T | 30K |
| 2026-09-27 | 5.2T | 29K |
| 2026-09-28 | 5.6T | 36K |
| 2026-09-29 | 5.4T | 37K |
| 2026-09-30 | 4.9T | 35K |
| 2026-10-01 | 4.6T | 34K |
| 2026-10-02 | 1.2T | 19K |

## 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.