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DeepSeek VL2 vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini offers 41.4K more tokens in context window than DeepSeek VL2. o3-mini is $4804.00 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
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
1 month newer
DeepSeek VL2
DeepSeek
2024-12-13
o3-mini
OpenAI
2025-01-30
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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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o3-mini
Input:$1.10
Output:$4.40($4804.00 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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-mini
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DeepSeek VL2
Avg Score:0.0%
Providers:1
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o3-mini
Avg Score:0.0%
Providers:2