Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 7.1% higher average benchmark score. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Phi 4 Mini 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 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 90B Instruct
Meta
2024-09-25
Phi 4 Mini
Microsoft
2025-02-01
Context window and performance specifications
Average performance across 26 common benchmarks
Llama 3.2 90B Instruct
Phi 4 Mini
Phi 4 Mini
2024-06-01
Available providers and their performance metrics
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together
Llama 3.2 90B Instruct
Phi 4 Mini
Llama 3.2 90B Instruct
Phi 4 Mini
Phi 4 Mini