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-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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-mini-instruct
Microsoft
2024-08-23
1 month newer
Pricing Comparison
Cost per million tokens (USD)
Llama 3.1 405B Instruct
Phi-3.5-mini-instruct
Performance Metrics
Context window and performance specifications
Llama 3.1 405B Instruct
Phi-3.5-mini-instruct
Average performance across 7 common benchmarks
Llama 3.1 405B Instruct
Phi-3.5-mini-instruct
Performance comparison across key benchmark categories
Llama 3.1 405B Instruct
Phi-3.5-mini-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-mini-instruct
Azure
Llama 3.1 405B Instruct
Phi-3.5-mini-instruct