Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 40.1% higher average benchmark score. Gemma 3 4B offers 196.6K more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. Gemma 3 4B supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, Gemma 3 4B is the stronger choice for coding tasks.
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). 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.
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.
3 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
QwQ-32B-Preview
Context window and performance specifications
Average performance across 28 common benchmarks
Gemma 3 4B
QwQ-32B-Preview
Gemma 3 4B
2024-08-01
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
QwQ-32B-Preview
Gemma 3 4B
QwQ-32B-Preview
Gemma 3 4B
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
Together