Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 27.6% higher average benchmark score. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
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%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
1 month newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Llama 3.2 90B Instruct
Meta
2024-09-25
Context window and performance specifications
Average performance across 40 common benchmarks
Llama 3.2 90B Instruct
Phi-3.5-MoE-instruct
Available providers and their performance metrics
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together
Llama 3.2 90B Instruct
Phi-3.5-MoE-instruct
Llama 3.2 90B Instruct
Phi-3.5-MoE-instruct
Phi-3.5-MoE-instruct