Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 1.8% higher average benchmark score. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
Alibaba Cloud / Qwen Team
Qwen3 30B was created with a mixture-of-experts architecture featuring 30 billion total parameters and 3 billion active parameters. Built to provide strong capabilities with efficient inference through sparse activation, it balances performance with practical computational requirements.
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.
Launched on the same date

Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29

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

Qwen3 30B A3B

Qwen3 32B
Context window and performance specifications
Average performance across 6 common benchmarks

Qwen3 30B A3B

Qwen3 32B
Available providers and their performance metrics

Qwen3 30B A3B
DeepInfra
Fireworks
Novita

Qwen3 30B A3B

Qwen3 32B

Qwen3 30B A3B

Qwen3 32B

Qwen3 32B
DeepInfra
Novita
Sambanova