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DeepSeek R1 Distill Qwen 1.5B vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 44.2% higher average benchmark score. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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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.
2 months newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
o4-mini
OpenAI
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:43.3%
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o4-mini
Average Score:87.4%(+44.2%)
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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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DeepSeek R1 Distill Qwen 1.5B
0 providers
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o4-mini
1 providers
OpenAI
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:43.3%
Providers:0
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o4-mini
Avg Score:87.4%(+44.2%)
Providers:1