Allen Institute for AI (Ai2), open weights

# Llama 3.1 Tulu 3 8b

> Llama 3.1 Tulu 3 8b by Allen Institute for AI (Ai2). Ranked #224 of 354 with a Noometry Index of 35.7. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/llama-3-1-tulu-3-8b
- Last updated: 2026-10-10
- Title: Llama 3.1 Tulu 3 8b Benchmarks, Price & Rank (October 2026)

Llama 3.1 Tulu 3 8b by Allen Institute for AI (Ai2) ranks 224th of 354 ranked models on the Noometry Index as of October 2026, with a score of 35.7. Its strongest category is reasoning, where it ranks 188th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #224 of 354
- **Index score:** 35.7
- **Evidence:** Confirmed 11 results
- **Provider:** [![](/logos/ai2.svg) Allen Institute for AI (Ai2)](https://noometry.com/providers/ai2)
- **Released:** Unknown
- **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 3.1 Tulu 3 8b category scores

1.  Coding 34.4
2.  Reasoning 22.8
3.  Math 33.9
4.  Multilingual 35.4
5.  Instruction Following 61.3
6.  Long Context 35.8
7.  Writing & Preference 39.7
8.  020406080

Llama 3.1 Tulu 3 8b category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 34.4 | #235 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 22.8 | #188 | 1 |
| [Math](https://noometry.com/best/math) | 33.9 | #198 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 35.4 | #246 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 61.3 | #246 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 35.8 | #239 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 39.7 | #245 | 3 |

## Strengths and weaknesses

Categories where Llama 3.1 Tulu 3 8b places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Llama 3.1 Tulu 3 8b: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 22.8 | −0.8 | #188 of 350, top 54% |
| [Math](https://noometry.com/best/math) | 33.9 | −2.7 | #198 of 327, top 61% |
| [Coding](https://noometry.com/best/coding) | 34.4 | −4.3 | #235 of 340, top 70% |

### Weakest categories

Llama 3.1 Tulu 3 8b: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multilingual](https://noometry.com/best/multilingual) | 35.4 | −12.0 | #246 of 297, top 83% |
| [Long Context](https://noometry.com/best/long-context) | 35.8 | −5.2 | #239 of 296, top 81% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 61.3 | −9.9 | #246 of 305, top 81% |

## Closest competitors

The models ranked just above and below Llama 3.1 Tulu 3 8b. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Llama 3.1 Tulu 3 8b
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Deepseek Coder v2](https://noometry.com/models/deepseek-coder-v2) | #220 | 35.9 | — | — | [Compare](https://noometry.com/compare/deepseek-coder-v2-vs-llama-3-1-tulu-3-8b) |
| [C4ai Aya Expanse 32b](https://noometry.com/models/c4ai-aya-expanse-32b) | #221 | 35.9 | — | — | [Compare](https://noometry.com/compare/c4ai-aya-expanse-32b-vs-llama-3-1-tulu-3-8b) |
| [Llama 3.1 Nemotron 51b Instruct](https://noometry.com/models/llama-3-1-nemotron-51b-instruct) | #222 | 35.9 | — | — | [Compare](https://noometry.com/compare/llama-3-1-nemotron-51b-instruct-vs-llama-3-1-tulu-3-8b) |
| [Nemotron 4 340b Instruct](https://noometry.com/models/nemotron-4-340b-instruct) | #223 | 35.9 | — | — | [Compare](https://noometry.com/compare/llama-3-1-tulu-3-8b-vs-nemotron-4-340b-instruct) |
| [Qwen3 14B](https://noometry.com/models/qwen3-14b) | #225 | 35.5 | $0.61 | 79 | [Compare](https://noometry.com/compare/llama-3-1-tulu-3-8b-vs-qwen3-14b) |
| [DeepSeek-R1-Distill-Qwen-32B](https://noometry.com/models/deepseek-r1-distill-qwen-32b) | #226 | 35.5 | — | — | [Compare](https://noometry.com/compare/deepseek-r1-distill-qwen-32b-vs-llama-3-1-tulu-3-8b) |
| [Magistral Medium](https://noometry.com/models/magistral-medium) | #227 | 35.2 | $2.75 | 0 | [Compare](https://noometry.com/compare/llama-3-1-tulu-3-8b-vs-magistral-medium) |
| [Gemini 2.0 Flash (Feb 2025)](https://noometry.com/models/gemini-2-0-flash) | #228 | 35.1 | — | 92 | [Compare](https://noometry.com/compare/gemini-2-0-flash-vs-llama-3-1-tulu-3-8b) |

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 3.1 Tulu 3 8b Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1183 | #248 of 294, top 85% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

Llama 3.1 Tulu 3 8b Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1174 | #246 of 297, top 83% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

Llama 3.1 Tulu 3 8b Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1195 | #233 of 285, top 82% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

Llama 3.1 Tulu 3 8b Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1169 | #246 of 297, top 83% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1176 | #243 of 285, top 86% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1193 | #238 of 283, top 85% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Llama 3.1 Tulu 3 8b Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1174 | #245 of 298, top 83% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Llama 3.1 Tulu 3 8b Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1181 | #248 of 291, top 86% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Llama 3.1 Tulu 3 8b Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1193 | #245 of 297, top 83% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1182 | #240 of 295, top 82% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1154 | #251 of 295, top 86% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare Llama 3.1 Tulu 3 8b

-   [Llama 3.1 Tulu 3 8b vs Nemotron 4 340b Instruct](https://noometry.com/compare/llama-3-1-tulu-3-8b-vs-nemotron-4-340b-instruct)
-   [Llama 3.1 Tulu 3 8b vs Qwen3 14B](https://noometry.com/compare/llama-3-1-tulu-3-8b-vs-qwen3-14b)
-   [Llama 3.1 Tulu 3 8b vs Llama 3.1 Nemotron 51b Instruct](https://noometry.com/compare/llama-3-1-nemotron-51b-instruct-vs-llama-3-1-tulu-3-8b)
-   [Llama 3.1 Tulu 3 8b vs DeepSeek-R1-Distill-Qwen-32B](https://noometry.com/compare/deepseek-r1-distill-qwen-32b-vs-llama-3-1-tulu-3-8b)
-   [Llama 3.1 Tulu 3 8b vs C4ai Aya Expanse 32b](https://noometry.com/compare/c4ai-aya-expanse-32b-vs-llama-3-1-tulu-3-8b)
-   [Llama 3.1 Tulu 3 8b vs Magistral Medium](https://noometry.com/compare/llama-3-1-tulu-3-8b-vs-magistral-medium)
-   [Llama 3.1 Tulu 3 8b vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-llama-3-1-tulu-3-8b)
-   [Llama 3.1 Tulu 3 8b vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-llama-3-1-tulu-3-8b)
-   [Llama 3.1 Tulu 3 8b vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-llama-3-1-tulu-3-8b)
-   [Llama 3.1 Tulu 3 8b vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-llama-3-1-tulu-3-8b)
-   [Llama 3.1 Tulu 3 8b vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-llama-3-1-tulu-3-8b)
-   [Llama 3.1 Tulu 3 8b vs Qwen3.8 Max](https://noometry.com/compare/llama-3-1-tulu-3-8b-vs-qwen3-8-max)
-   [Llama 3.1 Tulu 3 8b vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-llama-3-1-tulu-3-8b)
-   [Llama 3.1 Tulu 3 8b vs Muse Spark 1.3](https://noometry.com/compare/llama-3-1-tulu-3-8b-vs-muse-spark-1-3)

## Other Allen Institute for AI (Ai2) models

-   [Olmo 3.1 32b Instruct](https://noometry.com/models/olmo-3-1-32b-instruct)39.4
-   [Molmo 2 8b](https://noometry.com/models/molmo-2-8b)39.1
-   [Olmo 3 32b Think](https://noometry.com/models/olmo-3-32b-think)38.7
-   [Olmo 3.1 32b Think](https://noometry.com/models/olmo-3-1-32b-think)37.9
-   [Tulu 3 (Tülu 3) 70B](https://noometry.com/models/tulu-3-70b)33.0
-   [Olmo 2 0325 32b Instruct](https://noometry.com/models/olmo-2-0325-32b-instruct)32.7
-   [Olmo 7b Instruct](https://noometry.com/models/olmo-7b-instruct)30.3
-   [OLMo 2 Furious 13B](https://noometry.com/models/olmo-2-furious-13b)29.7

## Frequently asked questions

### How good is Llama 3.1 Tulu 3 8b?

Llama 3.1 Tulu 3 8b by Allen Institute for AI (Ai2) ranks 224th of 354 ranked models on the Noometry Index as of October 2026, with a score of 35.7. Its strongest category is reasoning, where it ranks 188th.

### Is Llama 3.1 Tulu 3 8b open source?

Yes. Llama 3.1 Tulu 3 8b's weights are downloadable; check the license for commercial terms.

### What are Llama 3.1 Tulu 3 8b's strengths and weaknesses?

Relative to other ranked models, Llama 3.1 Tulu 3 8b places best in reasoning, math, coding and lowest in multilingual, long context, instruction following.

### What is Llama 3.1 Tulu 3 8b best at?

Its best category is reasoning, where it ranks 188th on Noometry.

### Cite this page

Noometry. (2026). Llama 3.1 Tulu 3 8b benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/llama-3-1-tulu-3-8b

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/llama-3-1-tulu-3-8b.md).