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DeepSeek R1 Distill Qwen 7B vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 21.2% 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-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
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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 7B
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 7B
Average Score:66.2%
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o4-mini
Average Score:87.4%(+21.2%)
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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 7B
0 providers
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o4-mini
1 providers
OpenAI
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DeepSeek R1 Distill Qwen 7B
Avg Score:66.2%
Providers:0
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o4-mini
Avg Score:87.4%(+21.2%)
Providers:1