Compare DeepSeek V3.2 Exp Thinking from DeepSeek 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 V3.2 Exp ThinkingDeepSeek V4 FlashThe model DeepSeek-V3.2-Exp-Think is officially named deepseek-reasoner. It is an experimental version. As an intermediate step towards the next-generation architecture, V3.2-Exp introduces DeepSeek Sparse Attention (a sparse attention mechanism) based on V3.1-Terminus, exploring and validating exploratory optimizations for training and inference efficiency on long texts.
(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
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.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
DeepSeek V4 Flash: $0.284/M output tokens; DeepSeek V3.2 Exp Thinking: $0.411/M. Use the cost calculator above to estimate your own workload.
DeepSeek V3.2 Exp Thinking: 0.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
DeepSeek V3.2 Exp Thinking accepts 163,840 and DeepSeek V4 Flash accepts 1,000,000 input tokens. Maximum output per request is 64,000 tokens on DeepSeek V3.2 Exp Thinking and 384,000 tokens on DeepSeek V4 Flash.
DeepSeek V4 Flash at 66.5 tok/s and DeepSeek V3.2 Exp Thinking at 59.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
DeepSeek V3.2 Exp Thinking accepts text input and supports thinking, tool calling, function calling and structured outputs; DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking.
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