# Llama 3.1-8B vs o1-mini

> o1-mini is the stronger model overall, scoring 33.7 to 22.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-1-8b-vs-o1-mini
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. Llama 3.1-8B scores higher in 1 category and o1-mini in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o1-mini leads 34.8 to 8.0.
- The biggest single-benchmark swing is MATH Level 5: 22.9% for Llama 3.1-8B and 89.2% for o1-mini.
- Llama 3.1-8B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3.1-8B | o1-mini |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 22.8 | 33.7 |
| Rank | 347 | 230 |
| Context | 128K | — |
| Input $/M | $0.05 | — |
| Output $/M | $0.08 | — |
| Weights | Open | Proprietary |

## Coding

- Llama 3.1-8B: 19.9 (#335)
- o1-mini: 35.1 (#218)

| Benchmark | Llama 3.1-8B | o1-mini |
|---|---|---|
| WeirdML | 1.7% | 36.3% |
| LMArena Coding | 1195 | 1362 |
| HumanEval+ | 62.8% | 89% |
| MBPP+ | 55.6% | 78.8% |
| Aider Polyglot | — | 32.9% |
| SciCode | 13.2% | — |
| BigCodeBench Instruct | 32.8% | — |
| LiveBench Coding | — | 48% |
| BigCodeBench Complete | 40.5% | — |

## Agentic & Tool Use

- Llama 3.1-8B: 22.3 (#123)
- o1-mini: 24.3 (#112)

| Benchmark | Llama 3.1-8B | o1-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25.8% | — |
| Cybench | — | 10% |
| BALROG | 15.1% | — |

## Reasoning

- Llama 3.1-8B: 14.5 (#316)
- o1-mini: 8.9 (#340)

| Benchmark | Llama 3.1-8B | o1-mini |
|---|---|---|
| LMArena Hard Prompts | 1175 | 1333 |
| Epoch Capabilities Index | 116.48 | 135.82 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 18.1% |
| ARC-AGI-1 | — | 14% |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 72.3% |
| DTBench | 50.9% | — |
| LiveBench Data Analysis | — | 57.9% |
| LMCA | 5.4% | — |
| LiveBench | — | 57.8% |
| PIQA | 81.2% | — |

## Math

- Llama 3.1-8B: 9.5 (#311)
- o1-mini: 33.7 (#168)

| Benchmark | Llama 3.1-8B | o1-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.7% | 46.9% |
| LMArena Math | 1179 | 1358 |
| MATH Level 5 | 22.9% | 89.2% |
| Omni-MATH | 13.7% | — |
| LiveBench Math | — | 62% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
| GSM8K | 82.4% | — |

## Knowledge

- Llama 3.1-8B: 8.0 (#302)
- o1-mini: 34.8 (#180)

| Benchmark | Llama 3.1-8B | o1-mini |
|---|---|---|
| GPQA Diamond | 27% | 62.4% |
| LMArena Expert | 1144 | 1316 |
| MMLU-Pro | 40.6% | — |
| Confabulations | — | 18.6% |
| GPQA (HELM) | 24.7% | — |
| BoolQ | 82.8% | — |
| MMLU | 56.1% | — |

## Multilingual

- Llama 3.1-8B: 34.2 (#244)
- o1-mini: 43.8 (#177)

| Benchmark | Llama 3.1-8B | o1-mini |
|---|---|---|
| LMArena Non-English | 1148 | 1289 |
| LMArena Chinese | 1151 | 1314 |
| LMArena French | 1176 | 1292 |
| LMArena German | 1144 | 1278 |
| LMArena Japanese | 1061 | 1245 |
| LMArena Korean | 1053 | 1223 |
| LMArena Russian | 1158 | 1283 |
| LMArena Spanish | 1169 | 1302 |

## Instruction Following

- Llama 3.1-8B: 59.1 (#253)
- o1-mini: 67.0 (#200)

| Benchmark | Llama 3.1-8B | o1-mini |
|---|---|---|
| LMArena Instruction Following | 1159 | 1304 |
| LiveBench Instruction Following | — | 65.4% |
| IFEval | 74.3% | — |

## Long Context

- Llama 3.1-8B: 35.8 (#233)
- o1-mini: 40.1 (#156)

| Benchmark | Llama 3.1-8B | o1-mini |
|---|---|---|
| LMArena Longer Query | 1182 | 1321 |

## Writing & Preference

- Llama 3.1-8B: 29.9 (#285)
- o1-mini: 48.6 (#196)

| Benchmark | Llama 3.1-8B | o1-mini |
|---|---|---|
| LMArena Text | 1187 | 1317 |
| LMArena Creative Writing | 1154 | 1244 |
| LMArena Multi-Turn | 1172 | 1314 |
| Short-Story Creative Writing | — | 64.9% |
| EQ-Bench Creative Writing | 713 | — |
| WildBench | 68.7% | — |
| LiveBench Language | — | 40.9% |

## FAQ

### Is Llama 3.1-8B better than o1-mini?

o1-mini is the stronger model overall, scoring 33.7 to 22.8 on the Noometry Index.

### Is Llama 3.1-8B or o1-mini better for coding?

o1-mini scores higher on coding benchmarks: 35.1 versus 19.9 in the Noometry coding category.

### How many benchmarks do Llama 3.1-8B and o1-mini share?

24 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and o1-mini has 39.