Compare Alicloud Qwen3 235B A22B Thinking 2507 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.
Alicloud Qwen3 235B A22B Thinking 2507
DeepSeek V4 FlashThe open-source thinking model based on Qwen3 has significantly improved in logical ability, general capability, knowledge enhancement, and creative ability compared to the previous version (Tongyi Qianwen 3-235B-A22B). It is suitable for high-difficulty and strong reasoning scenarios.
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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DeepSeek V4 Flash: $0.928/M output tokens; Alicloud Qwen3 235B A22B Thinking 2507: $2.8/M. Use the cost calculator above to estimate your own workload.
Alicloud Qwen3 235B A22B Thinking 2507 accepts text and image input and supports thinking, 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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