Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

NVIDIA

Llama 3.1 Nemotron 70B Instruct

NVIDIA

Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, it represents NVIDIA's latest advancement in AI technology.

Meta

Llama 4 Scout

Meta

Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron 70B Instruct

NVIDIA

2024-10-01

Meta

Llama 4 Scout

Meta

2025-04-05

6 months newer

Performance Metrics

Context window and performance specifications

NVIDIA

Llama 3.1 Nemotron 70B Instruct

Max Context:-
Parameters:70.0B
Meta

Llama 4 Scout

Larger context
Max Context:20.0M
Parameters:109.0B

Average performance across 1 common benchmarks

NVIDIA

Llama 3.1 Nemotron 70B Instruct

+0.6%
Average Score:80.2%
Meta

Llama 4 Scout

Average Score:79.6%

Performance comparison across key benchmark categories

NVIDIA

Llama 3.1 Nemotron 70B Instruct

math
+16.1%
86.7%
code
+23.5%
73.8%
general
64.1%
Meta

Llama 4 Scout

math
70.5%
code
50.3%
general
+2.1%
66.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama 3.1 Nemotron 70B Instruct

2023-12-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

NVIDIA

Llama 3.1 Nemotron 70B Instruct

0 providers
Meta

Llama 4 Scout

6 providers

Together

Throughput: 106.9 tok/s
Latency: 0.54ms

DeepInfra

Throughput: 76.1 tok/s
Latency: 0.31ms

Fireworks

Throughput: 116.1 tok/s
Latency: 0.53ms

Groq

Throughput: 776.1 tok/s
Latency: 1.08ms

Novita

Throughput: 69.82 tok/s
Latency: 0.85ms

Lambda

Throughput: 139.7 tok/s
Latency: 0.43ms
NVIDIA

Llama 3.1 Nemotron 70B Instruct

+0.6%
Avg Score:80.2%
Providers:0
Meta

Llama 4 Scout

Avg Score:79.6%
Providers:6