Model Comparison

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

Meta

Llama 3.1 8B Instruct

Meta

Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

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 3.1 8B Instruct

Meta

2024-07-23

NVIDIA

Llama 3.1 Nemotron 70B Instruct

NVIDIA

2024-10-01

2 months newer

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 8B Instruct

Larger context
Max Context:262.1K
Parameters:8.0B
NVIDIA

Llama 3.1 Nemotron 70B Instruct

Max Context:-
Parameters:70.0B

Average performance across 2 common benchmarks

Meta

Llama 3.1 8B Instruct

+1.7%
Average Score:76.4%
NVIDIA

Llama 3.1 Nemotron 70B Instruct

Average Score:74.7%

Performance comparison across key benchmark categories

Meta

Llama 3.1 8B Instruct

math
68.4%
reasoning
+3.6%
83.4%
code
65.8%
general
54.0%
NVIDIA

Llama 3.1 Nemotron 70B Instruct

math
+18.2%
86.7%
reasoning
79.8%
code
+8.0%
73.8%
general
+10.1%
64.1%
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

Llama 3.1 8B Instruct

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.1 8B Instruct

9 providers

Sambanova

Throughput: 1050 tok/s
Latency: 0.5ms

Together

Throughput: 194 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 200 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 118 tok/s
Latency: 0.5ms

Fireworks

Throughput: 292 tok/s
Latency: 0.5ms

Groq

Throughput: 750 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Cerebras

Throughput: 2047 tok/s
Latency: 0.2ms
NVIDIA

Llama 3.1 Nemotron 70B Instruct

0 providers
Meta

Llama 3.1 8B Instruct

+1.7%
Avg Score:76.4%
Providers:9
NVIDIA

Llama 3.1 Nemotron 70B Instruct

Avg Score:74.7%
Providers:0