Compare Grok 4.5 from Grok and Qianfan Qi VL from Baidu on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Grok 4.5
Qianfan Qi VLGrok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
The Qianfan-QI-VL model is a proprietary image quality inspection and visual understanding large model (Quality Inspection Large Vision Language Model, Qianfan-QI-VL) developed by Baidu Cloud’s Qianfan platform. It is designed for quality inspection of product images uploaded in e-commerce scenarios, with detection capabilities including AIGC human defect detection, mosaic recognition, watermark recognition, and trademark detection.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Qianfan Qi VL: $0.6/M output tokens; Grok 4.5: $6/M. Use the cost calculator above to estimate your own workload.
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