+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Kimi K2-Instruct-0905 vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Moonshot AI
Kimi K2 Instruct-0905 represents a specific release iteration of the K2 Instruct model, developed to incorporate refinements and improvements. Built to provide enhanced instruction-following based on deployment feedback, it continues the evolution of Moonshot's instruction-tuned offerings.
+
+
+
+
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.
4 months newer
Phi 4 Reasoning
Microsoft
2025-04-30
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 6 common benchmarks
+
+
+
+
Kimi K2-Instruct-0905
Average Score:69.8%(+0.6%)
+
+
+
+
Phi 4 Reasoning
Average Score:69.2%
+
+
+
+
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-Instruct-0905
0 providers
+
+
+
+
Phi 4 Reasoning
0 providers
+
+
+
+
Kimi K2-Instruct-0905
Avg Score:69.8%(+0.6%)
Providers:0
+
+
+
+
Phi 4 Reasoning
Avg Score:69.2%
Providers:0