Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 35.1% higher average benchmark score. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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 11B Instruct
Meta
2024-09-25
Context window and performance specifications
Average performance across 38 common benchmarks
Llama 3.2 11B Instruct
Phi-3.5-MoE-instruct
Llama 3.2 11B Instruct
2023-12-31
Available providers and their performance metrics
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Llama 3.2 11B Instruct
Phi-3.5-MoE-instruct
Llama 3.2 11B Instruct
Phi-3.5-MoE-instruct
Together
Phi-3.5-MoE-instruct