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

Gemma 3 12B
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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 Google's latest advancement in AI technology.

QwQ-32B
Alibaba
QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

QwQ-32B
Alibaba
2025-03-05

Gemma 3 12B
2025-03-12
7 days newer
Performance Metrics
Context window and performance specifications

Gemma 3 12B

QwQ-32B
Average performance across 3 common benchmarks

Gemma 3 12B

QwQ-32B
Performance comparison across key benchmark categories

Gemma 3 12B

QwQ-32B
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 12B
DeepInfra

QwQ-32B

Gemma 3 12B

QwQ-32B