Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 35.5% higher average benchmark score. Llama 3.2 90B Instruct is available on 5 providers. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. 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 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 90B Instruct
Meta
2024-09-25
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Context window and performance specifications
Average performance across 49 common benchmarks
Llama 3.2 90B Instruct
Qwen2.5-Omni-7B
Available providers and their performance metrics
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together
Llama 3.2 90B Instruct
Qwen2.5-Omni-7B
Llama 3.2 90B Instruct
Qwen2.5-Omni-7B
Qwen2.5-Omni-7B