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DeepSeek VL2 Tiny vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 35.8% higher average benchmark score. Overall, o4-mini is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-VL2-Tiny was developed as an ultra-efficient vision-language model, designed for deployment in resource-constrained environments. Built to enable multimodal AI on edge devices and mobile applications, it distills vision-language capabilities into a minimal footprint for widespread accessibility.
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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.
4 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
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 VL2 Tiny
Average Score:47.2%
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o4-mini
Average Score:82.9%(+35.8%)
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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 VL2 Tiny
0 providers
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o4-mini
1 providers
OpenAI
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DeepSeek VL2 Tiny
Avg Score:47.2%
Providers:0
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o4-mini
Avg Score:82.9%(+35.8%)
Providers:1