Meta, open weights

# Llama 2-13B

> Llama 2-13B by Meta, released July 2023. Ranked #309 of 354 with a Noometry Index of 29.6. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/llama-2-13b
- Last updated: 2026-10-10
- Title: Llama 2-13B Benchmarks, Price & Rank (October 2026)

Llama 2-13B by Meta ranks 309th of 354 ranked models on the Noometry Index as of October 2026, with a score of 29.6. Its strongest category is math, where it ranks 229th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #309 of 354
- **Index score:** 29.6
- **Evidence:** Confirmed 32 results
- **Provider:** [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta)
- **Released:** July 18, 2023
- **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 2-13B category scores

1.  Coding 30.9
2.  Reasoning 12.8
3.  Math 31.1
4.  Knowledge 28.1
5.  Multilingual 26.5
6.  Instruction Following 53.3
7.  Long Context 32.3
8.  Writing & Preference 29.8
9.  0204060

Llama 2-13B category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 30.9 | #291 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 12.8 | #337 | 3 |
| [Math](https://noometry.com/best/math) | 31.1 | #229 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 28.1 | #249 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 26.5 | #279 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 53.3 | #287 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 32.3 | #269 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 29.8 | #289 | 3 |

## Strengths and weaknesses

Categories where Llama 2-13B places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Llama 2-13B: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Math](https://noometry.com/best/math) | 31.1 | −5.4 | #229 of 327, top 71% |
| [Knowledge](https://noometry.com/best/knowledge) | 28.1 | −9.3 | #249 of 314, top 80% |
| [Coding](https://noometry.com/best/coding) | 30.9 | −7.8 | #291 of 340, top 86% |

### Weakest categories

Llama 2-13B: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 12.8 | −10.8 | #337 of 350, top 97% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 53.3 | −18.0 | #287 of 305, top 95% |
| [Multilingual](https://noometry.com/best/multilingual) | 26.5 | −20.9 | #279 of 297, top 94% |

## Closest competitors

The models ranked just above and below Llama 2-13B. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Llama 2-13B
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Phi 3 Mini 128k Instruct](https://noometry.com/models/phi-3-mini-128k-instruct) | #305 | 29.7 | — | — | [Compare](https://noometry.com/compare/llama-2-13b-vs-phi-3-mini-128k-instruct) |
| [phi-3-medium 14B](https://noometry.com/models/phi-3-medium-14b) | #306 | 29.7 | — | — | [Compare](https://noometry.com/compare/llama-2-13b-vs-phi-3-medium-14b) |
| [Gemma 2B](https://noometry.com/models/gemma-2b) | #307 | 29.6 | — | — | [Compare](https://noometry.com/compare/gemma-2b-vs-llama-2-13b) |
| [Llama 3.1-70B](https://noometry.com/models/llama-3-1-70b) | #308 | 29.6 | $0.40 | — | [Compare](https://noometry.com/compare/llama-2-13b-vs-llama-3-1-70b) |
| [Claude 3 Opus](https://noometry.com/models/claude-3-opus) | #310 | 29.5 | — | — | [Compare](https://noometry.com/compare/claude-3-opus-vs-llama-2-13b) |
| [DBRX](https://noometry.com/models/dbrx) | #311 | 29.4 | — | — | [Compare](https://noometry.com/compare/dbrx-vs-llama-2-13b) |
| [Gemma 2 27B](https://noometry.com/models/gemma-2-27b) | #312 | 29.4 | $0.65 | — | [Compare](https://noometry.com/compare/gemma-2-27b-vs-llama-2-13b) |
| [Gemma 1.1 2b IT](https://noometry.com/models/gemma-1-1-2b-it) | #313 | 29.3 | — | — | [Compare](https://noometry.com/compare/gemma-1-1-2b-it-vs-llama-2-13b) |

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.

### Coding

Llama 2-13B Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1062 | #281 of 294, top 96% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

Llama 2-13B Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 0% | #118 of 129, top 92% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1051 | #281 of 297, top 95% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 42.2% | #150 of 151, top 100% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [BIG-Bench Hard](https://noometry.com/benchmarks/bbh) | 58.2% | #15 of 27, top 56% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [BIG-Bench Hard](https://noometry.com/benchmarks/bbh) | 47% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 106.17 | #196 of 213, top 93% |  | [Epoch AI](https://epoch.ai/eci) | 2023-07-18 |
| [HellaSwag](https://noometry.com/benchmarks/hellaswag) | 80.7% | #17 of 29, top 59% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LAMBADA](https://noometry.com/benchmarks/lambada) | 76.5% | #4 of 9, top 45% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [PIQA](https://noometry.com/benchmarks/piqa) | 80.8% | #20 of 27, top 75% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [WinoGrande](https://noometry.com/benchmarks/winogrande) | 72.8% | #29 of 43, top 68% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

Llama 2-13B Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1065 | #275 of 285, top 97% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [GSM8K](https://noometry.com/benchmarks/gsm8k) | 34.3% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GSM8K](https://noometry.com/benchmarks/gsm8k) | 36.9% | #28 of 38, top 74% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Knowledge

Llama 2-13B Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1030 | #268 of 273, top 99% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ARC (AI2) Challenge](https://noometry.com/benchmarks/arc-challenge) | 60.3% | #23 of 39, top 59% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [BoolQ](https://noometry.com/benchmarks/boolq) | 82.4% | #15 of 23, top 66% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [MMLU](https://noometry.com/benchmarks/mmlu) | 50.9% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [MMLU](https://noometry.com/benchmarks/mmlu) | 55.6% | #68 of 81, top 84% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [OpenBookQA](https://noometry.com/benchmarks/openbookqa) | 57% | #14 of 19, top 74% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [TriviaQA](https://noometry.com/benchmarks/triviaqa) | 79.6% | #12 of 25, top 48% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Multimodal

Llama 2-13B Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ScienceQA](https://noometry.com/benchmarks/scienceqa) | 55.8% | #4 of 6, top 67% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Multilingual

Llama 2-13B Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1024 | #279 of 297, top 94% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1001 | #278 of 285, top 98% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1044 | #219 of 223, top 99% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1009 | #226 of 231, top 98% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 894 | #210 of 211, top 100% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 953 | #208 of 213, top 98% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1055 | #266 of 283, top 94% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1087 | #218 of 226, top 97% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Llama 2-13B Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1045 | #284 of 298, top 96% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Llama 2-13B Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1064 | #274 of 291, top 95% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Llama 2-13B Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1084 | #277 of 297, top 94% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1047 | #278 of 295, top 95% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1050 | #277 of 295, top 94% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare Llama 2-13B

-   [Llama 2-13B vs Llama 13b](https://noometry.com/compare/llama-13b-vs-llama-2-13b)
-   [Llama 2-13B vs Llama 3.1-70B](https://noometry.com/compare/llama-2-13b-vs-llama-3-1-70b)
-   [Llama 2-13B vs Claude 3 Opus](https://noometry.com/compare/claude-3-opus-vs-llama-2-13b)
-   [Llama 2-13B vs Gemma 2B](https://noometry.com/compare/gemma-2b-vs-llama-2-13b)
-   [Llama 2-13B vs DBRX](https://noometry.com/compare/dbrx-vs-llama-2-13b)
-   [Llama 2-13B vs phi-3-medium 14B](https://noometry.com/compare/llama-2-13b-vs-phi-3-medium-14b)
-   [Llama 2-13B vs Gemma 2 27B](https://noometry.com/compare/gemma-2-27b-vs-llama-2-13b)
-   [Llama 2-13B vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-llama-2-13b)
-   [Llama 2-13B vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-llama-2-13b)
-   [Llama 2-13B vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-llama-2-13b)
-   [Llama 2-13B vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-llama-2-13b)
-   [Llama 2-13B vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-llama-2-13b)
-   [Llama 2-13B vs Qwen3.8 Max](https://noometry.com/compare/llama-2-13b-vs-qwen3-8-max)
-   [Llama 2-13B vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-llama-2-13b)

## 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 2-13B?

Llama 2-13B by Meta ranks 309th of 354 ranked models on the Noometry Index as of October 2026, with a score of 29.6. Its strongest category is math, where it ranks 229th.

### Is Llama 2-13B open source?

Yes. Llama 2-13B's weights are downloadable; check the license for commercial terms.

### What are Llama 2-13B's strengths and weaknesses?

Relative to other ranked models, Llama 2-13B places best in math, knowledge, coding and lowest in reasoning, instruction following, multilingual.

### What is Llama 2-13B best at?

Its best category is math, where it ranks 229th on Noometry.

### Cite this page

Noometry. (2026). Llama 2-13B benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/llama-2-13b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/llama-2-13b.md).