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

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.

Phi-3.5-MoE-instruct
Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Mistral NeMo Instruct
Mistral AI
2024-07-18

Phi-3.5-MoE-instruct
Microsoft
2024-08-23
1 month newer
Performance Metrics
Context window and performance specifications

Mistral NeMo Instruct

Phi-3.5-MoE-instruct
Average performance across 5 common benchmarks

Mistral NeMo Instruct

Phi-3.5-MoE-instruct
Performance comparison across key benchmark categories

Mistral NeMo Instruct

Phi-3.5-MoE-instruct
Provider Availability & Performance
Available providers and their performance metrics

Mistral NeMo Instruct
Mistral AI

Phi-3.5-MoE-instruct

Mistral NeMo Instruct

Phi-3.5-MoE-instruct