Model comparison
Llama 2-13B vs o1-pro
o1-pro is the stronger model overall, scoring 31.2 to 29.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
MetaSummary
- The widest gap is in reasoning, where o1-pro leads 20.2 to 12.3.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | o1-pro | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 29.1 | 31.2 |
| Released | 2023-07-18 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $150 |
| Output $ / M tokens | — | $600 |
| Results tracked | 32 | 3 |
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Category by category
Coding Not comparable
Llama 2-13B: 30.4 (#287), o1-pro: —
| Benchmark | Llama 2-13B | o1-pro |
|---|---|---|
| LMArena Coding | 1062 | — |
Reasoning o1-pro leads
Llama 2-13B: 12.3 (#333), o1-pro: 20.2 (#223)
| Benchmark | Llama 2-13B | o1-pro |
|---|---|---|
| ARC-AGI-1 | — | 23.3% |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1051 | — |
| 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 Not comparable
Llama 2-13B: 28.7 (#226), o1-pro: —
| Benchmark | Llama 2-13B | o1-pro |
|---|---|---|
| LMArena Math | 1065 | — |
| GSM8K | 36.9% | — |
Knowledge o1-pro leads
Llama 2-13B: 27.5 (#244), o1-pro: 29.3 (#227)
| Benchmark | Llama 2-13B | o1-pro |
|---|---|---|
| Humanity's Last Exam | — | 8.1% |
| LMArena Expert | 1030 | — |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, o1-pro: —
| Benchmark | Llama 2-13B | o1-pro |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Not comparable
Llama 2-13B: 26.7 (#274), o1-pro: —
| Benchmark | Llama 2-13B | o1-pro |
|---|---|---|
| LMArena Non-English | 1024 | — |
| LMArena Chinese | 1001 | — |
| LMArena French | 1043 | — |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Russian | 1055 | — |
| LMArena Spanish | 1086 | — |
Instruction Following Not comparable
Llama 2-13B: 53.5 (#282), o1-pro: —
| Benchmark | Llama 2-13B | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1046 | — |
Long Context Not comparable
Llama 2-13B: 32.3 (#264), o1-pro: —
| Benchmark | Llama 2-13B | o1-pro |
|---|---|---|
| LMArena Longer Query | 1064 | — |
Writing & Preference Not comparable
Llama 2-13B: 30.0 (#284), o1-pro: —
| Benchmark | Llama 2-13B | o1-pro |
|---|---|---|
| LMArena Text | 1085 | — |
| LMArena Creative Writing | 1047 | — |
| LMArena Multi-Turn | 1050 | — |
Frequently asked questions
Is Llama 2-13B better than o1-pro?
o1-pro is the stronger model overall, scoring 31.2 to 29.1 on the Noometry Index.
How many benchmarks do Llama 2-13B and o1-pro share?
0 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and o1-pro has 3.