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o4-mini vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
o4-mini leads with 23.0% higher average benchmark score. Overall, o4-mini is the stronger choice for coding tasks.
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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
2 months newer
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
o4-mini
OpenAI
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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o4-mini
Average Score:81.6%(+23.0%)
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Qwen2.5 VL 7B Instruct
Average Score:58.6%
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o4-mini
1 providers
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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Qwen2.5 VL 7B Instruct
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o4-mini
Avg Score:81.6%(+23.0%)
Providers:1
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Qwen2.5 VL 7B Instruct
Avg Score:58.6%
Providers:0