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DeepSeek VL2 vs o1-mini
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 28.1% higher average benchmark score. DeepSeek VL2 offers 65.0K more tokens in context window than o1-mini. o1-mini is $4794.50 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Overall, DeepSeek VL2 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-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K 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.
3 months newer
o1-mini
OpenAI
2024-09-12
DeepSeek VL2
DeepSeek
2024-12-13
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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o1-mini
Input:$3.00
Output:$12.00($4794.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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DeepSeek VL2
Average Score:49.6%(+28.1%)
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o1-mini
Average Score:21.6%
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-mini
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DeepSeek VL2
Avg Score:49.6%(+28.1%)
Providers:1
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o1-mini
Avg Score:21.6%
Providers:2