# Llama 3-8B vs Olmo 2 0325 32b Instruct

> Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.2 to 25.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-8b-vs-olmo-2-0325-32b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Olmo 2 0325 32b Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 2 0325 32b Instruct leads 24.8 to 8.3.

## Snapshot

| | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 25.3 | 32.2 |
| Rank | 338 | 248 |
| Context | 8K | — |
| Input $/M | $0.14 | — |
| Output $/M | $0.14 | — |
| Weights | Open | Open |

## Coding

- Llama 3-8B: 30.5 (#285)
- Olmo 2 0325 32b Instruct: 34.6 (#222)

| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1152 | 1210 |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |

## Reasoning

- Llama 3-8B: 13.8 (#321)
- Olmo 2 0325 32b Instruct: 22.6 (#174)

| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1208 |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.33 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |

## Math

- Llama 3-8B: 8.3 (#317)
- Olmo 2 0325 32b Instruct: 24.8 (#255)

| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1151 | 1208 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| Omni-MATH | — | 16.1% |
| MATH Level 5 | 6.1% | — |

## Knowledge

- Llama 3-8B: 7.8 (#303)
- Olmo 2 0325 32b Instruct: 19.2 (#274)

| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| GPQA Diamond | 26.1% | — |
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1113 | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |

## Multilingual

- Llama 3-8B: 31.0 (#256)
- Olmo 2 0325 32b Instruct: 35.0 (#243)

| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1098 | 1160 |
| LMArena Chinese | 1076 | 1192 |
| LMArena Russian | 1109 | 1187 |
| LMArena French | 1158 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1003 | — |
| LMArena Spanish | 1172 | — |

## Instruction Following

- Llama 3-8B: 58.7 (#255)
- Olmo 2 0325 32b Instruct: 61.8 (#238)

| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1127 | 1186 |
| IFEval | — | 78% |

## Long Context

- Llama 3-8B: 34.2 (#246)
- Olmo 2 0325 32b Instruct: 36.2 (#229)

| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1128 | 1194 |

## Writing & Preference

- Llama 3-8B: 37.7 (#251)
- Olmo 2 0325 32b Instruct: 42.3 (#231)

| Benchmark | Llama 3-8B | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1166 | 1218 |
| LMArena Creative Writing | 1150 | 1199 |
| LMArena Multi-Turn | 1152 | 1221 |
| WildBench | — | 73.4% |

## FAQ

### Is Llama 3-8B better than Olmo 2 0325 32b Instruct?

Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.2 to 25.3 on the Noometry Index.

### Is Llama 3-8B or Olmo 2 0325 32b Instruct better for coding?

Olmo 2 0325 32b Instruct scores higher on coding benchmarks: 34.6 versus 30.5 in the Noometry coding category.

### How many benchmarks do Llama 3-8B and Olmo 2 0325 32b Instruct share?

11 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.