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Qwen2.5 VL 32B Instruct vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
Qwen3 30B A3B leads with 19.8% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Qwen3 30B A3B is available on 3 providers. Overall, Qwen3 30B A3B is the stronger choice for coding tasks.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
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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.
2 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Qwen2.5 VL 32B Instruct
Average Score:46.0%
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Qwen3 30B A3B
Average Score:65.8%(+19.8%)
Provider Availability & Performance
Available providers and their performance metrics
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Qwen2.5 VL 32B Instruct
0 providers
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Qwen3 30B A3B
3 providers
DeepInfra
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Qwen2.5 VL 32B Instruct
Avg Score:46.0%
Providers:0
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Qwen3 30B A3B
Avg Score:65.8%(+19.8%)
Providers:3