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o1-mini vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
o1-mini leads with 7.2% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. o1-mini is available on 2 providers. Overall, o1-mini is the stronger choice for coding tasks.
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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
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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.
5 months newer
o1-mini
OpenAI
2024-09-12
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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o1-mini
Average Score:79.2%(+7.2%)
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Qwen2.5 VL 32B Instruct
Average Score:72.0%
Provider Availability & Performance
Available providers and their performance metrics
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o1-mini
2 providers
Azure
Throughput: 100 tok/s
Latency: 0.5ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o1-mini
Avg Score:79.2%(+7.2%)
Providers:2
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Qwen2.5 VL 32B Instruct
Avg Score:72.0%
Providers:0