Comprehensive side-by-side LLM comparison
QvQ-72B-Preview supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Alibaba Cloud / Qwen Team
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
3 months newer

Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19

QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Available providers and their performance metrics

QvQ-72B-Preview

Qwen2.5 14B Instruct

QvQ-72B-Preview

Qwen2.5 14B Instruct