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DeepSeek VL2 vs o3-pro
Comprehensive side-by-side LLM comparison
o3-pro offers 41.4K more tokens in context window than DeepSeek VL2. o3-pro is $4709.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K 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 2024, it represents DeepSeek's latest advancement in AI technology.
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OpenAI
o3-pro is a multimodal language model developed by OpenAI. 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.
5 months newer
DeepSeek VL2
DeepSeek
2024-12-13
o3-pro
OpenAI
2025-06-10
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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o3-pro
Input:$20.00
Output:$80.00($4709.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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DeepSeek VL2
Average Score:70.9%(+70.9%)
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o3-pro
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
o3-pro
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
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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o3-pro
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DeepSeek VL2
Avg Score:70.9%(+70.9%)
Providers:1
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o3-pro
Avg Score:0.0%
Providers:1