Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 10.6% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
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
Qwen2.5-72B-Instruct is the flagship of Alibaba's Qwen2.5 series, a 72-billion-parameter open-weight model released in September 2024 after training on 18 trillion tokens spanning code, mathematics, and multilingual text. It offers strong generalist performance across coding, instruction-following, and structured reasoning while remaining fully open-weight under Apache 2.0 — a combination that made it a widely referenced model in open-source evaluations and community benchmarking. The 128K context window and built-in structured output support made it a common choice for document analysis and multi-step agentic pipeline development.
6 months newer
Qwen2.5 72B Instruct
Alibaba / Qwen
2024-09-19

Llama 4 Maverick
Meta AI
2025-04-05
Context window and performance specifications
Average performance across 1 common benchmarks
Llama 4 Maverick
Qwen2.5 72B Instruct
Performance comparison across key benchmark categories
Llama 4 Maverick
Qwen2.5 72B Instruct
Available providers and their performance metrics
Llama 4 Maverick
Together AI
Qwen2.5 72B Instruct
Llama 4 Maverick
Qwen2.5 72B Instruct
Llama 4 Maverick
Qwen2.5 72B Instruct