Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 5.9% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Overall, Qwen2.5-Coder 7B 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-7B-Instruct is a 7-billion-parameter code-specialized model from Alibaba, released in November 2024 as part of the Qwen2.5-Coder family, trained on a curated corpus spanning 92 programming languages with emphasis on code generation, debugging, and fill-in-the-middle completion. Built on the Qwen2.5 architecture, it extends the base series' improvements in instruction-following and long-context handling to coding-specific tasks within a compact deployable footprint. It became popular for integration into IDE extensions, CI pipelines, and self-hosted code assistant tools.
4 months newer
Qwen2.5-Coder 7B 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 7B Instruct
Performance comparison across key benchmark categories
Llama 4 Maverick
Qwen2.5-Coder 7B Instruct
Available providers and their performance metrics
Llama 4 Maverick
Together AI
Qwen2.5-Coder 7B Instruct
Llama 4 Maverick
Qwen2.5-Coder 7B Instruct
Llama 4 Maverick
Qwen2.5-Coder 7B Instruct