+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
QvQ-72B-Preview leads with 13.9% higher average benchmark score. Overall, QvQ-72B-Preview is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
+
+
+
+
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.
12 days newer
DeepSeek VL2
DeepSeek
2024-12-13
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
DeepSeek VL2
Average Score:57.0%
+
+
+
+
QvQ-72B-Preview
Average Score:70.8%(+13.9%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
+
+
+
+
QvQ-72B-Preview
+
+
+
+
DeepSeek VL2
Avg Score:57.0%
Providers:1
+
+
+
+
QvQ-72B-Preview
Avg Score:70.8%(+13.9%)
Providers:0