+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi-3.5-mini-instruct 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-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
+
+
+
+
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.
4 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Phi-3.5-mini-instruct
1 providers
Azure
Throughput: 23 tok/s
Latency: 0.52ms
+
+
+
+
QvQ-72B-Preview
+
+
+
+
Phi-3.5-mini-instruct
Avg Score:0.0%
Providers:1
+
+
+
+
QvQ-72B-Preview
Avg Score:0.0%
Providers:0