+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 1.5B vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 22.3% higher average benchmark score. Overall, Phi 4 is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
+
+
+
+
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.
1 month newer
Phi 4
Microsoft
2024-12-12
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
Average Score:33.8%
+
+
+
+
Phi 4
Average Score:56.1%(+22.3%)
+
+
+
+
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 Distill Qwen 1.5B
0 providers
+
+
+
+
Phi 4
1 providers
DeepInfra
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
Avg Score:33.8%
Providers:0
+
+
+
+
Phi 4
Avg Score:56.1%(+22.3%)
Providers:1