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DeepSeek VL2 vs o1-mini
Comprehensive side-by-side LLM comparison
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. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
3 months newer
o1-mini
OpenAI
2024-09-12
DeepSeek VL2
DeepSeek
2024-12-13
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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
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:0.0%
Providers:1
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o1-mini
Avg Score:0.0%
Providers:2