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o4-mini vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
o4-mini leads with 35.9% higher average benchmark score. o4-mini supports multimodal inputs. 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
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
6 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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:81.4%(+35.9%)
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Qwen2.5 14B Instruct
Average Score:45.5%
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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 14B Instruct
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o4-mini
Avg Score:81.4%(+35.9%)
Providers:1
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Qwen2.5 14B Instruct
Avg Score:45.5%
Providers:0