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VS
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DeepSeek R1 Zero vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 7.4% 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-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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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 Zero
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 Zero
Average Score:80.0%
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o4-mini
Average Score:87.4%(+7.4%)
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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 Zero
0 providers
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o4-mini
1 providers
OpenAI
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DeepSeek R1 Zero
Avg Score:80.0%
Providers:0
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o4-mini
Avg Score:87.4%(+7.4%)
Providers:1