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o1 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
o1 leads with 12.8% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. o1 is available on 2 providers. Overall, o1 is the stronger choice for coding tasks.
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OpenAI
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
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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.
2 months newer
o1
OpenAI
2024-12-17
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 5 common benchmarks
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o1
Average Score:86.4%(+12.8%)
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Qwen2.5 VL 32B Instruct
Average Score:73.6%
Provider Availability & Performance
Available providers and their performance metrics
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o1
2 providers
Azure
Throughput: 16 tok/s
Latency: 0.54ms
OpenAI
Throughput: 66 tok/s
Latency: 16.2ms
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o1
Avg Score:86.4%(+12.8%)
Providers:2
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Qwen2.5 VL 32B Instruct
Avg Score:73.6%
Providers:0