Meta, open weights

# Llama 3.2 11B

> Llama 3.2 11B by Meta, released September 2024. 3 published benchmark results. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/llama-3-2-11b
- Last updated: 2026-10-10
- Title: Llama 3.2 11B Benchmarks, Price & Rank (October 2026)

Llama 3.2 11B by Meta has 3 published benchmark results on Noometry, not yet enough to be ranked.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** Unranked
- **Index score:** Not ranked
- **Evidence:** Sparse 3 results
- **Provider:** [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta)
- **Released:** September 24, 2024
- **Weights:** Open weights
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

Each category score combines every public result we have in that category.

Llama 3.2 11B category scores

1.  Agentic & Tool Use 27.3
2.  Multimodal 24.4
3.  232425262728

Llama 3.2 11B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 27.3 | — | 1 |
| [Multimodal](https://noometry.com/best/multimodal) | 24.4 | — | 1 |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Agentic & Tool Use

Llama 3.2 11B Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [BALROG](https://noometry.com/benchmarks/balrog) | 16.8% | #28 of 35, top 80% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Knowledge

Llama 3.2 11B Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [MMLU](https://noometry.com/benchmarks/mmlu) | 56.5% | #66 of 81, top 82% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Multimodal

Llama 3.2 11B Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 966 | #121 of 122, top 100% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |

## Compare Llama 3.2 11B

-   [Llama 3.2 11B vs Llama 3.1-405B](https://noometry.com/compare/llama-3-1-405b-vs-llama-3-2-11b)
-   [Llama 3.2 11B vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-llama-3-2-11b)
-   [Llama 3.2 11B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-llama-3-2-11b)
-   [Llama 3.2 11B vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-llama-3-2-11b)
-   [Llama 3.2 11B vs Claude Opus 5](https://noometry.com/compare/claude-opus-5-vs-llama-3-2-11b)
-   [Llama 3.2 11B vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-llama-3-2-11b)
-   [Llama 3.2 11B vs GPT-6.1 Sol](https://noometry.com/compare/gpt-6-1-sol-vs-llama-3-2-11b)
-   [Llama 3.2 11B vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-llama-3-2-11b)
-   [Llama 3.2 11B vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-llama-3-2-11b)
-   [Llama 3.2 11B vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-llama-3-2-11b)
-   [Llama 3.2 11B vs Qwen3.8 Max](https://noometry.com/compare/llama-3-2-11b-vs-qwen3-8-max)
-   [Llama 3.2 11B vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-llama-3-2-11b)
-   [Llama 3.2 11B vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-llama-3-2-11b)
-   [Llama 3.2 11B vs MiMo-V2.6-Pro](https://noometry.com/compare/llama-3-2-11b-vs-mimo-v2-6-pro)

## Other Meta models

-   [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3)54.8
-   [Muse Spark](https://noometry.com/models/muse-spark)50.6
-   [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2)50.3
-   [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1)49.9
-   [Muse Glimmer](https://noometry.com/models/muse-glimmer)41.7
-   [Codellama 70b Instruct](https://noometry.com/models/codellama-70b-instruct)33.7
-   [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick)30.9
-   [Codellama 34b Instruct](https://noometry.com/models/codellama-34b-instruct)30.8

## Frequently asked questions

### How good is Llama 3.2 11B?

Llama 3.2 11B by Meta has 3 published benchmark results on Noometry, not yet enough to be ranked.

### Is Llama 3.2 11B open source?

Yes. Llama 3.2 11B's weights are downloadable; check the license for commercial terms.

### Cite this page

Noometry. (2026). Llama 3.2 11B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/llama-3-2-11b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/llama-3-2-11b.md).