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Qwen2.5 VL 32B Instruct vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Qwen2.5 VL 32B Instruct supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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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 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
2 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Qwen2.5 VL 32B Instruct
Average Score:71.9%(+0.5%)
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Qwen3 235B A22B
Average Score:71.3%
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 235B A22B
4 providers
DeepInfra
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Qwen2.5 VL 32B Instruct
Avg Score:71.9%(+0.5%)
Providers:0
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Qwen3 235B A22B
Avg Score:71.3%
Providers:4