Comprehensive side-by-side LLM comparison
QwQ-32B-Preview leads with 35.9% 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, QwQ-32B-Preview is the stronger choice for coding tasks.
Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
Alibaba Cloud / Qwen Team
QwQ 32B Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
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 2 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