Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 53.1% higher average benchmark score. Gemma 3 4B offers 6.1K more tokens in context window than Qwen3 32B. Both models have similar pricing. Gemma 3 4B supports multimodal inputs. Qwen3 32B is available on 3 providers. Overall, Qwen3 32B 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
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
1 month newer

Gemma 3 4B
2025-03-12

Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)

Gemma 3 4B

Qwen3 32B
Context window and performance specifications
Average performance across 1 common benchmarks

Gemma 3 4B

Qwen3 32B
Gemma 3 4B
2024-08-01
Available providers and their performance metrics

Gemma 3 4B
DeepInfra

Qwen3 32B

Gemma 3 4B

Qwen3 32B

Gemma 3 4B

Qwen3 32B
DeepInfra
Novita
Sambanova