Compare Qwen/Qwen2.5-VL-32B-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.
Qwen/Qwen2.5-VL-32B-Instruct
DeepSeek V4 FlashQwen2.5-VL-32B-Instruct is an advanced multimodal model from the Tongyi Qianwen team that can recognize objects, analyze text and graphics in images, operate tools, locate objects in images, and generate structured outputs. Through reinforcement learning, it has improved mathematics and problem-solving capabilities, with a more concise and natural response style.
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.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Qwen/Qwen2.5-VL-32B-Instruct: $0.24/M output tokens; DeepSeek V4 Flash: $0.928/M. Use the cost calculator above to estimate your own workload.
Qwen/Qwen2.5-VL-32B-Instruct accepts text, image and video input and supports tool calling, function calling and structured outputs; DeepSeek V4 Flash accepts text input and supports tool calling, function calling and structured outputs.
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