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.

QvQ-72B-Preview
Alibaba
QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 Alibaba's latest advancement in AI technology.

Llama 3.2 3B Instruct
Meta
2024-09-25

QvQ-72B-Preview
Alibaba
2024-12-25
3 months newer
Performance Metrics
Context window and performance specifications

Llama 3.2 3B Instruct

QvQ-72B-Preview
Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

QvQ-72B-Preview
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 3B Instruct
DeepInfra

QvQ-72B-Preview

Llama 3.2 3B Instruct

QvQ-72B-Preview