Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 3n E4B Instructed
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google'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.

QvQ-72B-Preview
Alibaba
2024-12-25

Gemma 3n E4B Instructed
2025-06-26
6 months newer
Performance Metrics
Context window and performance specifications

Gemma 3n E4B Instructed

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

Gemma 3n E4B Instructed

QvQ-72B-Preview
Gemma 3n E4B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B Instructed
Together

QvQ-72B-Preview

Gemma 3n E4B Instructed

QvQ-72B-Preview