Comprehensive side-by-side LLM comparison
QvQ-72B-Preview leads with 25.4% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, QvQ-72B-Preview is the stronger choice for coding tasks.
xAI
Grok Code Fast 1 is a language model developed by xAI. It achieves strong performance with an average score of 70.8% across 1 benchmarks. Notable strengths include SWE-Bench Verified (70.8%). It supports a 266K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents xAI's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
8 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Grok Code Fast 1
xAI
2025-08-28
Context window and performance specifications
Average performance across 5 common benchmarks
Grok Code Fast 1
QvQ-72B-Preview
Available providers and their performance metrics
Grok Code Fast 1
xAI
QvQ-72B-Preview
Grok Code Fast 1
QvQ-72B-Preview
Grok Code Fast 1
QvQ-72B-Preview