Model comparison
Llama 3.1 Nemotron 70b Instruct vs o1
o1 is the stronger model overall, scoring 40.6 to 37.0 on the Noometry Index.
Last verified . 12 shared benchmarks.
NVIDIASummary
- They share 12 benchmarks with published results for both. Llama 3.1 Nemotron 70b Instruct scores higher in 0 categories and o1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where o1 leads 50.3 to 37.5.
- Llama 3.1 Nemotron 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1 Nemotron 70b Instruct | o1 | |
|---|---|---|
| Provider | NVIDIA | OpenAI |
| Noometry Index | 37.0 | 40.6 |
| Released | 2024-12-18 | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $15 |
| Output $ / M tokens | — | $60 |
| Results tracked | 14 | 52 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding o1 leads
Llama 3.1 Nemotron 70b Instruct: 35.3 (#212), o1: 45.7 (#64)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o1 |
|---|---|---|
| LMArena Coding | 1272 | 1367 |
| Aider Polyglot | — | 61.7% |
| WeirdML | — | 47.6% |
| BigCodeBench Instruct | 38.7% | — |
| LiveBench Coding | — | 69.7% |
| BigCodeBench Complete | 48.2% | — |
| CadEval | — | 56% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |
Agentic & Tool Use Not comparable
Llama 3.1 Nemotron 70b Instruct: —, o1: 24.3 (#111)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o1 |
|---|---|---|
| Cybench | — | 10% |
| METR Time Horizons | — | 51.1% |
Reasoning o1 leads
Llama 3.1 Nemotron 70b Instruct: 24.0 (#156), o1: 27.5 (#103)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o1 |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1372 |
| SimpleBench | — | 41.7% |
| ARC-AGI-1 | — | 30.7% |
| Chess Puzzles | — | 15% |
| EnigmaEval | — | 5.7% |
| LiveBench Reasoning | — | 91.6% |
| DTBench | — | 74.7% |
| LiveBench Data Analysis | — | 65.5% |
| LMCA | — | 22.3% |
| Epoch Capabilities Index | — | 141.92 |
| LiveBench | — | 75.7% |
Math o1 leads
Llama 3.1 Nemotron 70b Instruct: 32.9 (#182), o1: 34.9 (#150)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o1 |
|---|---|---|
| LMArena Math | 1271 | 1388 |
| FrontierMath (Tiers 1-3) | — | 14.7% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| LiveBench Math | — | 80.3% |
| MATH Level 5 | — | 94.7% |
| FrontierMath (Feb 2025 set) | — | 9.3% |
Knowledge o1 leads
Llama 3.1 Nemotron 70b Instruct: 33.5 (#194), o1: 41.5 (#101)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o1 |
|---|---|---|
| LMArena Expert | 1242 | 1362 |
| GPQA Diamond | — | 76.8% |
| Humanity's Last Exam | — | 8% |
| SimpleQA Verified | — | 41.1% |
| Confabulations | — | 11.7% |
Multimodal Not comparable
Llama 3.1 Nemotron 70b Instruct: —, o1: 33.6 (#87)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o1 |
|---|---|---|
| LMArena Vision | — | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |
Multilingual o1 leads
Llama 3.1 Nemotron 70b Instruct: 40.7 (#212), o1: 48.8 (#137)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o1 |
|---|---|---|
| LMArena Non-English | 1245 | 1359 |
| LMArena Chinese | 1263 | 1394 |
| LMArena Russian | 1227 | 1356 |
| LMArena French | — | 1343 |
| LMArena German | — | 1337 |
| LMArena Japanese | — | 1346 |
| LMArena Korean | — | 1396 |
| LMArena Spanish | — | 1345 |
Instruction Following o1 leads
Llama 3.1 Nemotron 70b Instruct: 66.2 (#208), o1: 75.0 (#82)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o1 |
|---|---|---|
| LMArena Instruction Following | 1252 | 1368 |
| LiveBench Instruction Following | — | 81.5% |
Long Context o1 leads
Llama 3.1 Nemotron 70b Instruct: 37.5 (#210), o1: 50.3 (#9)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o1 |
|---|---|---|
| LMArena Longer Query | 1239 | 1378 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference o1 leads
Llama 3.1 Nemotron 70b Instruct: 48.6 (#197), o1: 55.8 (#139)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | o1 |
|---|---|---|
| LMArena Text | 1283 | 1366 |
| LMArena Creative Writing | 1269 | 1347 |
| LMArena Multi-Turn | 1275 | 1368 |
| Short-Story Creative Writing | — | 70.2% |
| LiveBench Language | — | 65.4% |
Frequently asked questions
Is Llama 3.1 Nemotron 70b Instruct better than o1?
o1 is the stronger model overall, scoring 40.6 to 37.0 on the Noometry Index.
Is Llama 3.1 Nemotron 70b Instruct or o1 better for coding?
o1 scores higher on coding benchmarks: 45.7 versus 35.3 in the Noometry coding category.
How many benchmarks do Llama 3.1 Nemotron 70b Instruct and o1 share?
12 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and o1 has 52.