Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 3.6% higher average benchmark score. Llama 4 Maverick offers 2.0M more tokens in context window than Phi 4. Phi 4 is $0.56 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
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%). 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.
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
3 months newer
Phi 4
Microsoft
2024-12-12
Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)
Llama 4 Maverick
Phi 4
Context window and performance specifications
Average performance across 21 common benchmarks
Llama 4 Maverick
Phi 4
Phi 4
2024-06-01
Available providers and their performance metrics
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Maverick
Phi 4
Llama 4 Maverick
Phi 4
Sambanova
Together
Phi 4
DeepInfra