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DeepSeek VL2 vs DeepSeek-V3
Comprehensive side-by-side LLM comparison
DeepSeek-V3 offers 3.6K more tokens in context window than DeepSeek VL2. DeepSeek-V3 is $4808.13 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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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
12 days newer
DeepSeek VL2
DeepSeek
2024-12-13
DeepSeek-V3
DeepSeek
2024-12-25
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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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DeepSeek-V3
Input:$0.27
Output:$1.10($4808.13 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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DeepSeek-V3
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DeepSeek VL2
Avg Score:0.0%
Providers:1
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DeepSeek-V3
Avg Score:0.0%
Providers:1