Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 35.4% higher average benchmark score. Llama 4 Maverick is available on 7 providers. Overall, Qwen2.5-Omni-7B 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-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
9 days newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Llama 4 Maverick
Meta
2025-04-05
Context window and performance specifications
Average performance across 49 common benchmarks
Llama 4 Maverick
Qwen2.5-Omni-7B
Available providers and their performance metrics
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Maverick
Qwen2.5-Omni-7B
Llama 4 Maverick
Qwen2.5-Omni-7B
Sambanova
Together
Qwen2.5-Omni-7B