Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 17.1% higher average benchmark score. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, Phi 4 Mini 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 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
4 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
Phi 4 Mini
Microsoft
2025-02-01
Context window and performance specifications
Average performance across 24 common benchmarks
Llama 3.2 11B Instruct
Phi 4 Mini
Llama 3.2 11B Instruct
2023-12-31
Phi 4 Mini
2024-06-01
Available providers and their performance metrics
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Llama 3.2 11B Instruct
Phi 4 Mini
Llama 3.2 11B Instruct
Phi 4 Mini
Together
Phi 4 Mini