Model comparison
Llama 3.1 Nemotron 70b Instruct vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 37.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIASummary
- The widest gap is in long context, where o3-pro leads 72.2 to 37.6.
- Llama 3.1 Nemotron 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1 Nemotron 70b Instruct | o3-pro | |
|---|---|---|
| Provider | NVIDIA | OpenAI |
| Noometry Index | 37.6 | 42.9 |
| Released | 2024-12-18 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $20 |
| Output $ / M tokens | — | $80 |
| Results tracked | 14 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding o3-pro leads
Llama 3.1 Nemotron 70b Instruct: 35.9 (#216), o3-pro: 55.5 (#24)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| BigCodeBench Instruct | 38.7% | — |
| LMArena Coding | 1272 | — |
| BigCodeBench Complete | 48.2% | — |
Reasoning Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 25.0 (#152), o3-pro: 23.8 (#171)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1266 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.42 |
Math Not comparable
Llama 3.1 Nemotron 70b Instruct: 35.5 (#182), o3-pro: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o3-pro |
|---|---|---|
| LMArena Math | 1271 | — |
Knowledge Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 34.1 (#199), o3-pro: 29.5 (#238)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1242 | — |
Multilingual Not comparable
Llama 3.1 Nemotron 70b Instruct: 40.5 (#217), o3-pro: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o3-pro |
|---|---|---|
| LMArena Non-English | 1245 | — |
| LMArena Chinese | 1263 | — |
| LMArena Russian | 1227 | — |
Instruction Following Not comparable
Llama 3.1 Nemotron 70b Instruct: 65.9 (#213), o3-pro: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1252 | — |
Long Context o3-pro leads
Llama 3.1 Nemotron 70b Instruct: 37.6 (#215), o3-pro: 72.2 (#1)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1238 | — |
Writing & Preference o3-pro leads
Llama 3.1 Nemotron 70b Instruct: 48.4 (#203), o3-pro: 57.1 (#133)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o3-pro |
|---|---|---|
| LMArena Text | 1283 | — |
| LMArena Creative Writing | 1269 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1275 | — |
Frequently asked questions
Is Llama 3.1 Nemotron 70b Instruct better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 37.6 on the Noometry Index.
Is Llama 3.1 Nemotron 70b Instruct or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 35.9 in the Noometry coding category.
How many benchmarks do Llama 3.1 Nemotron 70b Instruct and o3-pro share?
0 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and o3-pro has 12.