Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
Qwen2.5-Omni-7B
Alibaba
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. 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's latest advancement in AI technology.
Llama 3.2 3B Instruct
Meta
2024-09-25
Qwen2.5-Omni-7B
Alibaba
2025-03-27
6 months newer
Performance Metrics
Context window and performance specifications
Llama 3.2 3B Instruct
Qwen2.5-Omni-7B
Average performance across 3 common benchmarks
Llama 3.2 3B Instruct
Qwen2.5-Omni-7B
Performance comparison across key benchmark categories
Llama 3.2 3B Instruct
Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.2 3B Instruct
DeepInfra
Qwen2.5-Omni-7B
Llama 3.2 3B Instruct
Qwen2.5-Omni-7B