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.
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 70B 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 70B Instruct
Phi-3.5-MoE-instruct
Average performance across 5 common benchmarks
Llama 3.1 70B Instruct
Phi-3.5-MoE-instruct
Performance comparison across key benchmark categories
Llama 3.1 70B Instruct
Phi-3.5-MoE-instruct
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras
Phi-3.5-MoE-instruct
Llama 3.1 70B Instruct
Phi-3.5-MoE-instruct