+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Kimi K2 Base vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 11.4% higher average benchmark score. Overall, Phi 4 Reasoning is the stronger choice for coding tasks.
+
+
+
+
Moonshot AI
Kimi K2 Base was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
+
+
+
+
Microsoft
Phi-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
2 months newer
Phi 4 Reasoning
Microsoft
2025-04-30
Kimi K2 Base
Moonshot AI
2025-07-11
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 2 common benchmarks
+
+
+
+
Kimi K2 Base
Average Score:58.7%
+
+
+
+
Phi 4 Reasoning
Average Score:70.0%(+11.4%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Kimi K2 Base
0 providers
+
+
+
+
Phi 4 Reasoning
0 providers
+
+
+
+
Kimi K2 Base
Avg Score:58.7%
Providers:0
+
+
+
+
Phi 4 Reasoning
Avg Score:70.0%(+11.4%)
Providers:0