NVIDIA Llama 3.1 Nemotron 70B vs Llama 3.1 70B: Benchmark Comparison
Detailed comparison of NVIDIA Llama 3.1 Nemotron 70B and Llama 3.1 70B covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | NVIDIA Llama 3.1 Nemotron 70B | Llama 3.1 70B |
|---|---|---|
| Vendor | other | meta |
| Version | nvidia-llama-3-1-nemotron-70b | 3.1-70b |
| Release Date | 2024-10-17 | 2024-07-23 |
| Context Window | 131072 tokens | 128000 tokens |
| Input Modalities | text | text |
| Output Modalities | text | text |
| License | Llama 3.1 Community License | Llama 3 Community License |
| SOC2 | ✗ | ✗ |
| HIPAA | ✗ | ✗ |
| GDPR | ✗ | ✗ |
| ISO 27001 | ✗ | ✗ |
Benchmark Results
| Benchmark | NVIDIA Llama 3.1 Nemotron 70B | Llama 3.1 70B | Winner |
|---|---|---|---|
| ARC | 93.2 | 92.3 | NVIDIA Llama 3.1 Nemotron 70B |
| BBH | 76.6 | 70.2 | NVIDIA Llama 3.1 Nemotron 70B |
| GPQA | 37.6 | 40 | Llama 3.1 70B |
| GSM8K | 77.8 | 78.8 | Llama 3.1 70B |
| HUMANEVAL | 66.4 | 79.7 | Llama 3.1 70B |
| IFEVAL | 69.6 | 73.7 | Llama 3.1 70B |
| MATH | 40.3 | 38.5 | NVIDIA Llama 3.1 Nemotron 70B |
| MMLU | 80.4 | 75.6 | NVIDIA Llama 3.1 Nemotron 70B |
| MUSR | 47.7 | 48.1 | Llama 3.1 70B |
| WINOGRANDE | 84.7 | 81 | NVIDIA Llama 3.1 Nemotron 70B |
Pricing Comparison
| Tier (per Mtok) | NVIDIA Llama 3.1 Nemotron 70B | Llama 3.1 70B |
|---|---|---|
| Input | $0.9 | $0.9 |
| Output | $0.9 | $0.9 |
| Cache Read | $0 | $0 |
| Cache Write | $0 | $0 |
NVIDIA Llama 3.1 Nemotron 70B vs Llama 3.1 70B
Model Overview
NVIDIA Llama 3.1 Nemotron 70B and Llama 3.1 70B are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Key Specifications
| Vendor | Release Date | Context Window | License |
|---|---|---|---|
| Other / Meta | 2024-10-17 / 2024-07-23 | 131K / 128K | Llama 3.1 Community License / Llama 3 Community License |
Benchmark Performance
| Benchmark | NVIDIA Llama 3.1 Nemotron 70B | Llama 3.1 70B | Winner |
|---|---|---|---|
| ARC | 93.2 | 92.3 | A |
| BBH (BIG-Bench Hard) | 76.6 | 70.2 | A |
| GPQA | 37.6 | 40.0 | B |
| GSM8K (Grade School Math 8K) | 77.8 | 78.8 | B |
| HumanEval | 66.4 | 79.7 | B |
| IFEval | 69.6 | 73.7 | B |
| MATH | 40.3 | 38.5 | A |
| MMLU (Massive Multitask Language Understanding) | 80.4 | 75.6 | A |
| MUSR | 47.7 | 48.1 | Tie |
| WinoGrande | 84.7 | 81.0 | A |
Pricing Comparison
| Input | Output | Cache Read | Cache Write |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
per million tokens — A / B
Strengths & Weaknesses
NVIDIA Llama 3.1 Nemotron 70B
- ✅ MMLU score 80.4, strong knowledge reasoning.
- ⚠️ Proprietary, not self-hostable.
Llama 3.1 70B
- ✅ Reliable general-purpose model.
- ⚠️ Proprietary, not self-hostable.
Editor’s Take
NVIDIA Llama 3.1 Nemotron 70B and Llama 3.1 70B each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.
FAQ
Which model is better for coding tasks?
Refer to the HumanEval benchmark table; the model with a higher score is better suited for coding tasks.
Which model is cheaper?
Refer to the pricing comparison table above; the model with lower input/output prices is more cost-effective.
Which has a longer context window?
Refer to the key specifications table; the model with a larger context window is better for long documents.
References
Editor's Take
See Editor's Take section.