Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 38.4% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, Gemma 3n E4B Instructed LiteRT Preview is the stronger choice for coding tasks.
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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.
Alibaba Cloud / Qwen Team
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.
5 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Context window and performance specifications
Average performance across 30 common benchmarks
Gemma 3n E4B Instructed LiteRT Preview
QwQ-32B-Preview
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
Gemma 3n E4B Instructed LiteRT Preview
QwQ-32B-Preview
DeepInfra
Gemma 3n E4B Instructed LiteRT Preview
QwQ-32B-Preview
Gemma 3n E4B Instructed LiteRT Preview
QwQ-32B-Preview
Fireworks
Hyperbolic
Together