+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Kimi-k1.5 vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 1.6% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Moonshot AI
Kimi K1.5 was developed by Moonshot AI as an advanced language model with extended context capabilities, designed to handle long documents and conversations. Built to excel at tasks requiring comprehension of extensive information, it represents Moonshot's approach to long-context language understanding.
+
+
+
+
Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
3 months newer
Kimi-k1.5
Moonshot AI
2025-01-20
Phi 4 Mini Reasoning
Microsoft
2025-04-30
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 1 common benchmarks
+
+
+
+
Kimi-k1.5
Average Score:96.2%(+1.6%)
+
+
+
+
Phi 4 Mini Reasoning
Average Score:94.6%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Kimi-k1.5
0 providers
+
+
+
+
Phi 4 Mini Reasoning
0 providers
+
+
+
+
Kimi-k1.5
Avg Score:96.2%(+1.6%)
Providers:0
+
+
+
+
Phi 4 Mini Reasoning
Avg Score:94.6%
Providers:0