Qwen2.5-VL is a visual language model from the Qwen2.5 series, equipped with strong visual understanding and reasoning capabilities. It can recognize objects, analyze text and charts, understand key events in long videos, and accurately locate targets within images. The model supports structured output, making it suitable for data such as invoices and forms, and performs excellently in multiple benchmark tests.
Qwen/Qwen2.5-VL-72B-Instruct vs DeepSeek V4 Flash
Compare Qwen/Qwen2.5-VL-72B-Instruct from Qwen and DeepSeek V4 Flash from DeepSeek on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
DeepSeek V4 Flash 0423 is DeepSeek's efficiency-optimized Mixture-of-Experts text model, designed for fast inference and workflows requiring tool use, function calling, and structured outputs. It features 284B total parameters with 13B activated parameters and supports a 1M-token context window with cost-effective pricing.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
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Performance Past 3 Days
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Cost calculator
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FAQ
Which is cheaper: Qwen/Qwen2.5-VL-72B-Instruct, DeepSeek V4 Flash?
Qwen/Qwen2.5-VL-72B-Instruct: $0.5/M output tokens; DeepSeek V4 Flash: $0.928/M. Use the cost calculator above to estimate your own workload.
What inputs and capabilities does each model support?
Qwen/Qwen2.5-VL-72B-Instruct accepts text, image and video input; DeepSeek V4 Flash accepts text input and supports tool calling, function calling and structured outputs.
Can I call Qwen/Qwen2.5-VL-72B-Instruct and DeepSeek V4 Flash with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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