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o3 vs Qwen2.5-VL 32B Instruct
Comprehensive side-by-side LLM comparison
o3 leads with 19.1% higher average benchmark score. Overall, o3 is the stronger choice for coding tasks.
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OpenAI
OpenAI o3, released by OpenAI in April 2025, is a large reasoning model that applies extended chain-of-thought processing to deliver improved performance on complex math, science, and coding tasks. It features a 200K token context window and native image understanding, with demonstrated strong results on mathematics and software engineering benchmarks. o3 targets demanding analytical and engineering tasks where deliberate, multi-step reasoning produces significantly better outcomes than direct generation.
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Alibaba / Qwen
Qwen2.5-VL-32B-Instruct is a 32-billion-parameter vision-language model from Alibaba, extending the Qwen2.5 architecture with multimodal capabilities for understanding images, documents, charts, and video frames alongside text. The model was designed for tasks requiring deep visual reasoning — such as document parsing, table extraction, and spatial understanding — with performance that made it a practical choice for document intelligence and visual data analysis workflows. As an open-weight model, it became a widely adopted foundation for fine-tuning domain-specific multimodal applications.
1 month newer
Qwen2.5-VL 32B Instruct
Alibaba / Qwen
2025-03-01
o3
OpenAI
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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o3
Average Score:23.0%(+19.1%)
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Qwen2.5-VL 32B Instruct
Average Score:3.9%
Performance comparison across key benchmark categories
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o3
Agents23.0%(+19.1%)
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Qwen2.5-VL 32B Instruct
Agents3.9%
Provider Availability & Performance
Available providers and their performance metrics
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o3
1 providers
OpenAI
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Qwen2.5-VL 32B Instruct
0 providers
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o3
Avg Score:23.0%(+19.1%)
Providers:1
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Qwen2.5-VL 32B Instruct
Avg Score:3.9%
Providers:0