Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.1 405B Instruct
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta'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.
Llama 3.1 405B Instruct
Meta
2024-07-23
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
1 month newer
Performance Metrics
Context window and performance specifications
Llama 3.1 405B Instruct
Phi-3.5-MoE-instruct
Average performance across 7 common benchmarks
Llama 3.1 405B Instruct
Phi-3.5-MoE-instruct
Performance comparison across key benchmark categories
Llama 3.1 405B Instruct
Phi-3.5-MoE-instruct
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 405B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
Lambda
Replicate
Phi-3.5-MoE-instruct
Llama 3.1 405B Instruct
Phi-3.5-MoE-instruct