+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-R1-0528 vs Phi 4
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 42.9% higher average benchmark score. DeepSeek-R1-0528 offers 230.1K more tokens in context window than Phi 4. Phi 4 is $2.44 cheaper per million tokens. DeepSeek-R1-0528 is available on 3 providers. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
5 months newer
Phi 4
Microsoft
2024-12-12
DeepSeek-R1-0528
DeepSeek
2025-05-28
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-R1-0528
Input:$0.50
Output:$2.15
+
+
+
+
Phi 4
Input:$0.07
Output:$0.14($2.44 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
DeepSeek-R1-0528
Average Score:86.1%(+42.9%)
+
+
+
+
Phi 4
Average Score:43.2%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
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
+
+
+
+
+
+
+
DeepSeek-R1-0528
Avg Score:86.1%(+42.9%)
Providers:3
+
+
+
+
Phi 4
Avg Score:43.2%
Providers:1