Model comparison
Llama 2-13B vs Olmo 3 32b Think
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 29.6 on the Noometry Index.
Last verified . 14 shared benchmarks.
Meta
Allen Institute for AI (Ai2)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 49.1 to 29.8.
Side by side
| Llama 2-13B | Olmo 3 32b Think | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 29.6 | 38.7 |
| Released | 2023-07-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 32 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Olmo 3 32b Think leads
Llama 2-13B: 30.9 (#291), Olmo 3 32b Think: 38.6 (#172)
| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1062 | 1319 |
Reasoning Olmo 3 32b Think leads
Llama 2-13B: 12.8 (#337), Olmo 3 32b Think: 25.9 (#140)
| 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 | 106.17 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Olmo 3 32b Think leads
Llama 2-13B: 31.1 (#229), Olmo 3 32b Think: 36.5 (#165)
| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1065 | 1316 |
| GSM8K | 36.9% | — |
Knowledge Olmo 3 32b Think leads
Llama 2-13B: 28.1 (#249), Olmo 3 32b Think: 35.0 (#190)
| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1030 | 1273 |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Olmo 3 32b Think: —
| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Olmo 3 32b Think leads
Llama 2-13B: 26.5 (#279), Olmo 3 32b Think: 41.2 (#210)
| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1024 | 1255 |
| LMArena Chinese | 1001 | 1300 |
| LMArena French | 1044 | 1291 |
| LMArena German | 1009 | 1290 |
| LMArena Russian | 1055 | 1254 |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Spanish | 1087 | — |
Instruction Following Olmo 3 32b Think leads
Llama 2-13B: 53.3 (#287), Olmo 3 32b Think: 67.2 (#198)
| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1045 | 1275 |
Long Context Olmo 3 32b Think leads
Llama 2-13B: 32.3 (#269), Olmo 3 32b Think: 39.4 (#182)
| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1064 | 1296 |
Writing & Preference Olmo 3 32b Think leads
Llama 2-13B: 29.8 (#289), Olmo 3 32b Think: 49.1 (#193)
| Benchmark | Llama 2-13B | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1084 | 1300 |
| LMArena Creative Writing | 1047 | 1256 |
| LMArena Multi-Turn | 1050 | 1290 |
Frequently asked questions
Is Llama 2-13B better than Olmo 3 32b Think?
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 29.6 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: 38.6 versus 30.9 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.