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Grok-2 vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Grok-2 leads with 41.4% higher average benchmark score. Overall, Grok-2 is the stronger choice for coding tasks.
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xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
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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.
4 months newer
Grok-2
xAI
2024-08-13
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Grok-2
Average Score:61.2%(+41.4%)
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QvQ-72B-Preview
Average Score:19.8%
Provider Availability & Performance
Available providers and their performance metrics
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Grok-2
1 providers
xAI
Throughput: 85 tok/s
Latency: 0.7ms
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QvQ-72B-Preview
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Grok-2
Avg Score:61.2%(+41.4%)
Providers:1
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QvQ-72B-Preview
Avg Score:19.8%
Providers:0