Model comparison
Llama 3-70B vs o1-pro
o1-pro is the stronger model overall, scoring 31.2 to 28.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
MetaSummary
- The widest gap is in knowledge, where o1-pro leads 29.3 to 20.8.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 3-70B | o1-pro | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 28.5 | 31.2 |
| Released | 2024-04-18 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $150 |
| Output $ / M tokens | — | $600 |
| Results tracked | 31 | 3 |
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Category by category
Coding Not comparable
Llama 3-70B: 35.3 (#215), o1-pro: —
| Benchmark | Llama 3-70B | o1-pro |
|---|---|---|
| BigCodeBench Instruct | 43.6% | — |
| LMArena Coding | 1206 | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Not comparable
Llama 3-70B: 20.9 (#132), o1-pro: —
| Benchmark | Llama 3-70B | o1-pro |
|---|---|---|
| Cybench | 5% | — |
Reasoning o1-pro leads
Llama 3-70B: 17.4 (#284), o1-pro: 20.2 (#223)
| Benchmark | Llama 3-70B | o1-pro |
|---|---|---|
| Kagi LLM Benchmark | 35.1% | — |
| ARC-AGI-1 | — | 23.3% |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1195 | — |
| DTBench | 54.2% | — |
| Epoch Capabilities Index | 122.91 | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Not comparable
Llama 3-70B: 12.0 (#299), o1-pro: —
| Benchmark | Llama 3-70B | o1-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| LMArena Math | 1218 | — |
| MATH Level 5 | 22.6% | — |
Knowledge o1-pro leads
Llama 3-70B: 20.8 (#272), o1-pro: 29.3 (#227)
| Benchmark | Llama 3-70B | o1-pro |
|---|---|---|
| GPQA Diamond | 40.6% | — |
| Humanity's Last Exam | — | 8.1% |
| LMArena Expert | 1149 | — |
| MMLU | 79.3% | — |
Multilingual Not comparable
Llama 3-70B: 33.8 (#246), o1-pro: —
| Benchmark | Llama 3-70B | o1-pro |
|---|---|---|
| LMArena Non-English | 1142 | — |
| LMArena Chinese | 1114 | — |
| LMArena French | 1231 | — |
| LMArena German | 1169 | — |
| LMArena Japanese | 1017 | — |
| LMArena Korean | 1017 | — |
| LMArena Russian | 1159 | — |
| LMArena Spanish | 1241 | — |
Instruction Following Not comparable
Llama 3-70B: 62.8 (#233), o1-pro: —
| Benchmark | Llama 3-70B | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1194 | — |
Long Context Not comparable
Llama 3-70B: 35.6 (#235), o1-pro: —
| Benchmark | Llama 3-70B | o1-pro |
|---|---|---|
| LMArena Longer Query | 1174 | — |
Writing & Preference Not comparable
Llama 3-70B: 43.0 (#225), o1-pro: —
| Benchmark | Llama 3-70B | o1-pro |
|---|---|---|
| LMArena Text | 1221 | — |
| LMArena Creative Writing | 1210 | — |
| LMArena Multi-Turn | 1223 | — |
Frequently asked questions
Is Llama 3-70B better than o1-pro?
o1-pro is the stronger model overall, scoring 31.2 to 28.5 on the Noometry Index.
How many benchmarks do Llama 3-70B and o1-pro share?
0 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and o1-pro has 3.