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DeepSeek-R1-0528 vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 offers 6.1K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $2.50 cheaper per million tokens. Phi-4-multimodal-instruct supports multimodal inputs. DeepSeek-R1-0528 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-0528 represents a specific release iteration of the DeepSeek-R1 model, developed to incorporate refinements and improvements from ongoing training. Built to provide enhanced reasoning capabilities based on accumulated insights, it continues the evolution of DeepSeek's reasoning-focused architecture.
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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.
3 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
DeepSeek-R1-0528
DeepSeek
2025-05-28
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1-0528
Input:$0.50
Output:$2.15
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($2.50 cheaper)
Performance Metrics
Context window and performance specifications
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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-R1-0528
3 providers
DeepInfra
Throughput: 45.04 tok/s
Latency: 0.61ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Novita
Throughput: 37.96 tok/s
Latency: 1.18ms
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DeepSeek-R1-0528
Avg Score:0.0%
Providers:3
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Phi-4-multimodal-instruct
Avg Score:0.0%
Providers:1