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DeepSeek VL2 Tiny vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 27.5% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. o1 is available on 2 providers. Overall, o1 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
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
4 days newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
o1
OpenAI
2024-12-17
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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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o1
Average Score:74.7%(+27.5%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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o1
2 providers
Azure
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DeepSeek VL2 Tiny
Avg Score:47.2%
Providers:0
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o1
Avg Score:74.7%(+27.5%)
Providers:2