Model comparison
Llama 3.1-70B vs Nemotron-4 15B
Llama 3.1-70B has enough public results to be ranked (#308); Nemotron-4 15B does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Meta
NVIDIASummary
- They share 2 benchmarks with published results for both.
- Llama 3.1-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1-70B | Nemotron-4 15B | |
|---|---|---|
| Provider | Meta | NVIDIA |
| Noometry Index | 29.6 | — |
| Released | 2024-07-23 | 2024-02-26 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 35 | 8 |
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Category by category
Coding Not comparable
Llama 3.1-70B: 30.3 (#296), Nemotron-4 15B: —
| Benchmark | Llama 3.1-70B | Nemotron-4 15B |
|---|---|---|
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| LMArena Coding | 1260 | — |
| BigCodeBench Complete | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3.1-70B: 25.1 (#112), Nemotron-4 15B: —
| Benchmark | Llama 3.1-70B | Nemotron-4 15B |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |
Reasoning Not comparable
Llama 3.1-70B: 21.6 (#220), Nemotron-4 15B: —
| Benchmark | Llama 3.1-70B | Nemotron-4 15B |
|---|---|---|
| Epoch Capabilities Index | 125.92 | 107.72 |
| LMArena Hard Prompts | 1241 | — |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| BIG-Bench Hard | — | 58.7% |
| HellaSwag | — | 82.4% |
| PIQA | — | 82.4% |
| WinoGrande | — | 78% |
Math Not comparable
Llama 3.1-70B: 13.5 (#304), Nemotron-4 15B: —
| Benchmark | Llama 3.1-70B | Nemotron-4 15B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| LMArena Math | 1252 | — |
| MATH Level 5 | 36.7% | — |
| GSM8K | — | 46% |
Knowledge Not comparable
Llama 3.1-70B: 24.2 (#269), Nemotron-4 15B: —
| Benchmark | Llama 3.1-70B | Nemotron-4 15B |
|---|---|---|
| MMLU | 80.1% | 58.7% |
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| LMArena Expert | 1209 | — |
| ARC (AI2) Challenge | — | 55.5% |
Multilingual Not comparable
Llama 3.1-70B: 38.8 (#225), Nemotron-4 15B: —
| Benchmark | Llama 3.1-70B | Nemotron-4 15B |
|---|---|---|
| LMArena Non-English | 1219 | — |
| LMArena Chinese | 1215 | — |
| LMArena French | 1261 | — |
| LMArena German | 1222 | — |
| LMArena Japanese | 1132 | — |
| LMArena Korean | 1140 | — |
| LMArena Russian | 1234 | — |
| LMArena Spanish | 1253 | — |
Instruction Following Not comparable
Llama 3.1-70B: 65.3 (#223), Nemotron-4 15B: —
| Benchmark | Llama 3.1-70B | Nemotron-4 15B |
|---|---|---|
| IFEval | 82.1% | — |
| LMArena Instruction Following | 1231 | — |
Long Context Not comparable
Llama 3.1-70B: 37.6 (#214), Nemotron-4 15B: —
| Benchmark | Llama 3.1-70B | Nemotron-4 15B |
|---|---|---|
| LMArena Longer Query | 1241 | — |
Writing & Preference Not comparable
Llama 3.1-70B: 35.4 (#267), Nemotron-4 15B: —
| Benchmark | Llama 3.1-70B | Nemotron-4 15B |
|---|---|---|
| LMArena Text | 1261 | — |
| LMArena Creative Writing | 1232 | — |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |
| LMArena Multi-Turn | 1256 | — |
Frequently asked questions
Is Llama 3.1-70B better than Nemotron-4 15B?
Llama 3.1-70B has enough public results to be ranked (#308); Nemotron-4 15B does not yet, so treat this comparison as directional.
How many benchmarks do Llama 3.1-70B and Nemotron-4 15B share?
2 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Nemotron-4 15B has 8.