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o3-mini vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
o3-mini leads with 18.5% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. o3-mini is available on 2 providers. Overall, o3-mini is the stronger choice for coding tasks.
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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
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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.
29 days newer
o3-mini
OpenAI
2025-01-30
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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o3-mini
Average Score:87.3%(+18.5%)
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Qwen2.5 VL 32B Instruct
Average Score:68.9%
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o3-mini
2 providers
Azure
Throughput: 115 tok/s
Latency: 5.2ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o3-mini
Avg Score:87.3%(+18.5%)
Providers:2
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Qwen2.5 VL 32B Instruct
Avg Score:68.9%
Providers:0