Comprehensive side-by-side LLM comparison
QvQ-72B-Preview supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
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.
26 days newer

QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 1.5B

QvQ-72B-Preview

DeepSeek R1 Distill Qwen 1.5B

QvQ-72B-Preview