Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Llama 4 Maverick
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). The model shows particular specialization in vision tasks with an average performance of 75.8%. With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 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.

Phi 4 Reasoning Plus
Microsoft
Phi 4 Reasoning Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Llama 4 Maverick
Meta
2025-04-05

Phi 4 Reasoning Plus
Microsoft
2025-04-30
25 days newer
Performance Metrics
Context window and performance specifications

Llama 4 Maverick

Phi 4 Reasoning Plus
Average performance across 3 common benchmarks

Llama 4 Maverick

Phi 4 Reasoning Plus
Performance comparison across key benchmark categories

Llama 4 Maverick

Phi 4 Reasoning Plus
Phi 4 Reasoning Plus
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics

Llama 4 Maverick
Sambanova
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Phi 4 Reasoning Plus

Llama 4 Maverick

Phi 4 Reasoning Plus