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.

QwQ-32B-Preview
Alibaba
QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

QwQ-32B-Preview
Alibaba
2024-11-28

Gemma 3n E4B Instructed
2025-06-26
7 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3n E4B Instructed

QwQ-32B-Preview
Performance Metrics
Context window and performance specifications

Gemma 3n E4B Instructed

QwQ-32B-Preview
Average performance across 2 common benchmarks

Gemma 3n E4B Instructed

QwQ-32B-Preview
Performance comparison across key benchmark categories

Gemma 3n E4B Instructed

QwQ-32B-Preview
Gemma 3n E4B Instructed
2024-06-01
QwQ-32B-Preview
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B Instructed
Together

QwQ-32B-Preview
Together
Hyperbolic
DeepInfra
Fireworks

Gemma 3n E4B Instructed

QwQ-32B-Preview