Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 40.9% higher average benchmark score. Llama 3.2 11B Instruct is available on 6 providers. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
6 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Context window and performance specifications
Average performance across 48 common benchmarks
Llama 3.2 11B Instruct
Qwen2.5-Omni-7B
Llama 3.2 11B Instruct
2023-12-31
Available providers and their performance metrics
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Llama 3.2 11B Instruct
Qwen2.5-Omni-7B
Llama 3.2 11B Instruct
Qwen2.5-Omni-7B
Together
Qwen2.5-Omni-7B