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DeepSeek VL2 vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. DeepSeek VL2 offers 2.6K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $4809.35 cheaper per million tokens. 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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Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
1 month newer
DeepSeek VL2
DeepSeek
2024-12-13
Phi-4-multimodal-instruct
Microsoft
2025-02-01
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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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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($4809.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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DeepSeek VL2
Average Score:77.5%(+0.4%)
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Phi-4-multimodal-instruct
Average Score:77.1%
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
2024-06-01
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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Phi-4-multimodal-instruct
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DeepSeek VL2
Avg Score:77.5%(+0.4%)
Providers:1
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Phi-4-multimodal-instruct
Avg Score:77.1%
Providers:1