Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.2 11B Instruct
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.
Qwen2.5 32B Instruct
Alibaba
Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.
Qwen2.5 32B Instruct
Alibaba
2024-09-19
Llama 3.2 11B Instruct
Meta
2024-09-25
6 days newer
Performance Metrics
Context window and performance specifications
Llama 3.2 11B Instruct
Qwen2.5 32B Instruct
Average performance across 3 common benchmarks
Llama 3.2 11B Instruct
Qwen2.5 32B Instruct
Performance comparison across key benchmark categories
Llama 3.2 11B Instruct
Qwen2.5 32B Instruct
Llama 3.2 11B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock
Qwen2.5 32B Instruct
Llama 3.2 11B Instruct
Qwen2.5 32B Instruct