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DeepSeek VL2 Tiny vs o3
Comprehensive side-by-side LLM comparison
o3 leads with 17.7% higher average benchmark score. Overall, o3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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OpenAI
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 67.5% across 22 benchmarks. It excels particularly in COLLIE (98.4%), AIME 2024 (91.6%), ARC-AGI (88.0%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
4 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
o3
OpenAI
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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DeepSeek VL2 Tiny
Average Score:26.0%
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o3
Average Score:43.7%(+17.7%)
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Knowledge Cutoff
Training data recency comparison
o3
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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o3
1 providers
OpenAI
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DeepSeek VL2 Tiny
Avg Score:26.0%
Providers:0
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o3
Avg Score:43.7%(+17.7%)
Providers:1