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.

Mistral AI

Mistral NeMo Instruct

Mistral AI

Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral NeMo Instruct

Mistral AI

2024-07-18

NVIDIA

Llama 3.1 Nemotron 70B Instruct

NVIDIA

2024-10-01

2 months newer

Performance Metrics

Context window and performance specifications

NVIDIA

Llama 3.1 Nemotron 70B Instruct

Max Context:-
Parameters:70.0B
Mistral AI

Mistral NeMo Instruct

Larger context
Max Context:256.0K
Parameters:12.0B

Average performance across 4 common benchmarks

NVIDIA

Llama 3.1 Nemotron 70B Instruct

+7.6%
Average Score:77.2%
Mistral AI

Mistral NeMo Instruct

Average Score:69.7%

Performance comparison across key benchmark categories

NVIDIA

Llama 3.1 Nemotron 70B Instruct

reasoning
79.8%
general
+3.3%
64.1%
factuality
+8.3%
58.6%
Mistral AI

Mistral NeMo Instruct

reasoning
+0.4%
80.2%
general
60.8%
factuality
50.3%
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
Mistral AI

Mistral NeMo Instruct

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
NVIDIA

Llama 3.1 Nemotron 70B Instruct

+7.6%
Avg Score:77.2%
Providers:0
Mistral AI

Mistral NeMo Instruct

Avg Score:69.7%
Providers:2