+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi 4 vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct 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
Qwen2-VL 72B was developed as a large vision-language model, designed to handle multimodal tasks combining visual and textual understanding. Built with 72 billion parameters for integrated vision and language processing, it enables applications requiring sophisticated analysis of images alongside text.
3 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Phi 4
Microsoft
2024-12-12
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
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
+
+
+
+
Qwen2-VL-72B-Instruct
+
+
+
+
Phi 4
Avg Score:0.0%
Providers:1
+
+
+
+
Qwen2-VL-72B-Instruct
Avg Score:0.0%
Providers:0