+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi 4 vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
QvQ-72B-Preview supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
Alibaba Cloud / Qwen Team
QVQ-72B Preview was introduced as an experimental visual question answering model, designed to combine vision and language understanding for complex reasoning tasks. Built to demonstrate advanced multimodal reasoning capabilities, it represents Qwen's exploration into models that can analyze and reason about visual information.
13 days newer
Phi 4
Microsoft
2024-12-12
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
+
+
+
+
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
+
+
+
+
Phi 4
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
+
+
+
+
QvQ-72B-Preview
+
+
+
+
Phi 4
Avg Score:0.0%
Providers:1
+
+
+
+
QvQ-72B-Preview
Avg Score:0.0%
Providers:0