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DeepSeek VL2 vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 11.9% higher average benchmark score. o1 offers 41.4K more tokens in context window than DeepSeek VL2. o1 is $4734.50 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Overall, o1 is the stronger choice for coding tasks.
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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
o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
4 days newer
DeepSeek VL2
DeepSeek
2024-12-13
o1
OpenAI
2024-12-17
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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o1
Input:$15.00
Output:$60.00($4734.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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DeepSeek VL2
Average Score:32.0%
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o1
Average Score:43.9%(+11.9%)
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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o1
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DeepSeek VL2
Avg Score:32.0%
Providers:1
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o1
Avg Score:43.9%(+11.9%)
Providers:2