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

Llama 3.1 70B Instruct
Meta
Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K 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.

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 NeMo Instruct
Mistral AI
2024-07-18

Llama 3.1 70B Instruct
Meta
2024-07-23
5 days newer
Pricing Comparison
Cost per million tokens (USD)

Llama 3.1 70B Instruct

Mistral NeMo Instruct
Performance Metrics
Context window and performance specifications

Llama 3.1 70B Instruct

Mistral NeMo Instruct
Average performance across 1 common benchmarks

Llama 3.1 70B Instruct

Mistral NeMo Instruct
Performance comparison across key benchmark categories

Llama 3.1 70B Instruct

Mistral NeMo Instruct
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.1 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Mistral NeMo Instruct
Mistral AI

Llama 3.1 70B Instruct

Mistral NeMo Instruct