Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 25.0% higher average benchmark score. QwQ-32B-Preview offers 1.5K more tokens in context window than Gemma 3n E4B Instructed. QwQ-32B-Preview is $59.65 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, Gemma 3n E4B Instructed is the stronger choice for coding tasks.
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.
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.
7 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemma 3n E4B Instructed
QwQ-32B-Preview
Context window and performance specifications
Average performance across 20 common benchmarks
Gemma 3n E4B Instructed
QwQ-32B-Preview
Gemma 3n E4B Instructed
2024-06-01
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
QwQ-32B-Preview
Gemma 3n E4B Instructed
QwQ-32B-Preview
Gemma 3n E4B Instructed
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
Together