# Llama 2-13B vs Olmo 3 32b Think

> Olmo 3 32b Think is the stronger model overall, scoring 38.1 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-13b-vs-olmo-3-32b-think
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Llama 2-13B scores higher in 0 categories and Olmo 3 32b Think in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Olmo 3 32b Think leads 49.2 to 30.0.

## Snapshot

| | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 29.1 | 38.1 |
| Rank | 304 | 182 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Llama 2-13B: 30.4 (#287)
- Olmo 3 32b Think: 38.0 (#169)

| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1062 | 1318 |

## Reasoning

- Llama 2-13B: 12.3 (#333)
- Olmo 3 32b Think: 24.9 (#138)

| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1302 |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 105.8 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |

## Math

- Llama 2-13B: 28.7 (#226)
- Olmo 3 32b Think: 33.8 (#165)

| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1065 | 1315 |
| GSM8K | 36.9% | — |

## Knowledge

- Llama 2-13B: 27.5 (#244)
- Olmo 3 32b Think: 34.4 (#189)

| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1030 | 1272 |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |

## Multimodal

- Llama 2-13B: —
- Olmo 3 32b Think: —

| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| ScienceQA | 55.8% | — |

## Multilingual

- Llama 2-13B: 26.7 (#274)
- Olmo 3 32b Think: 41.4 (#205)

| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1024 | 1255 |
| LMArena Chinese | 1001 | 1300 |
| LMArena French | 1043 | 1291 |
| LMArena German | 1009 | 1290 |
| LMArena Russian | 1055 | 1255 |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Spanish | 1086 | — |

## Instruction Following

- Llama 2-13B: 53.5 (#282)
- Olmo 3 32b Think: 67.4 (#193)

| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1046 | 1275 |

## Long Context

- Llama 2-13B: 32.3 (#264)
- Olmo 3 32b Think: 39.4 (#177)

| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1064 | 1296 |

## Writing & Preference

- Llama 2-13B: 30.0 (#284)
- Olmo 3 32b Think: 49.2 (#188)

| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1085 | 1300 |
| LMArena Creative Writing | 1047 | 1256 |
| LMArena Multi-Turn | 1050 | 1289 |

## FAQ

### Is Llama 2-13B better than Olmo 3 32b Think?

Olmo 3 32b Think is the stronger model overall, scoring 38.1 to 29.1 on the Noometry Index.

### Is Llama 2-13B or Olmo 3 32b Think better for coding?

Olmo 3 32b Think scores higher on coding benchmarks: 38.0 versus 30.4 in the Noometry coding category.

### How many benchmarks do Llama 2-13B and Olmo 3 32b Think share?

14 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Olmo 3 32b Think has 14.