Comprehensive side-by-side LLM comparison
Qwen2 72B Instruct leads with 2.6% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
Alibaba / Qwen
Qwen2-72B-Instruct is a 72-billion-parameter language model released by Alibaba's Qwen team in June 2024, serving as the flagship of the Qwen2 generation and representing a major step in open-weight multilingual modeling. Trained on data spanning 30+ languages with strong coverage of code and structured reasoning, the model was among the first openly released 70B-class models to demonstrate competitive performance across diverse benchmarks. It established the foundation architecture and training methodology that the Qwen2.5 series would later extend.
10 months newer
Qwen2 72B Instruct
Alibaba / Qwen
2024-06-07

Llama 4 Maverick
Meta AI
2025-04-05
Context window and performance specifications
Average performance across 1 common benchmarks
Llama 4 Maverick
Qwen2 72B Instruct
Performance comparison across key benchmark categories
Llama 4 Maverick
Qwen2 72B Instruct
Available providers and their performance metrics
Llama 4 Maverick
Together AI
Qwen2 72B Instruct
Llama 4 Maverick
Qwen2 72B Instruct
Llama 4 Maverick
Qwen2 72B Instruct