Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 6.2% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Qwen2.5-Coder 7B Instruct is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Llama 4 Maverick
Meta
2025-04-05
Context window and performance specifications
Average performance across 27 common benchmarks
Llama 4 Maverick
Qwen2.5-Coder 7B Instruct
Available providers and their performance metrics
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Maverick
Qwen2.5-Coder 7B Instruct
Llama 4 Maverick
Qwen2.5-Coder 7B Instruct
Sambanova
Together
Qwen2.5-Coder 7B Instruct