+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-R1 vs Phi 4 Reasoning Plus
Comprehensive side-by-side LLM comparison
DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
+
+
+
+
Microsoft
Phi-4 Reasoning Plus was created as an enhanced reasoning variant, designed to provide even deeper analytical capabilities within the Phi-4 family. Built to maximize reasoning quality while maintaining the efficiency benefits of small models, it represents the most capable reasoning-focused option in the Phi-4 series.
3 months newer
DeepSeek-R1
DeepSeek
2025-01-20
Phi 4 Reasoning Plus
Microsoft
2025-04-30
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning Plus
2025-03-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
+
+
+
+
DeepSeek-R1
Avg Score:0.0%
Providers:5
+
+
+
+
Phi 4 Reasoning Plus
Avg Score:0.0%
Providers:0