Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 12.6% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Overall, Qwen2.5-Coder 32B 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-Coder-32B-Instruct is a 32-billion-parameter code-specialized model from Alibaba, released in November 2024 and trained on a large corpus spanning 92 programming languages including C, Python, Java, Rust, and domain-specific languages. The model was designed to provide competitive code generation, repair, and reasoning capabilities as an open-weight alternative for developers building code assistant tools and automated review pipelines. Its 128K context window enables whole-file and multi-file code comprehension, making it particularly suited for complex repository-level tasks.
4 months newer
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12

Llama 4 Maverick
Meta AI
2025-04-05
Context window and performance specifications
Average performance across 1 common benchmarks
Llama 4 Maverick
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Llama 4 Maverick
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
Llama 4 Maverick
Together AI
Qwen2.5-Coder 32B Instruct
Llama 4 Maverick
Qwen2.5-Coder 32B Instruct
Llama 4 Maverick
Qwen2.5-Coder 32B Instruct