Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 12.6% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Phi 4 Mini is the stronger choice for coding tasks.
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, 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.
2 months newer
Phi 4 Mini
Microsoft
2025-02-01
Llama 4 Scout
Meta
2025-04-05
Context window and performance specifications
Average performance across 24 common benchmarks
Llama 4 Scout
Phi 4 Mini
Phi 4 Mini
2024-06-01
Available providers and their performance metrics
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Scout
Phi 4 Mini
Llama 4 Scout
Phi 4 Mini
Together
Phi 4 Mini