The model DeepSeek-V3.2-Exp is officially named deepseek-chat on the website. 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
Baidu DeepSeek V3.2 vs Deep Deepseek V4 Flash
Compare Baidu DeepSeek V3.2 from DeepSeek and Deep 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
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
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Baidu DeepSeek V3.2, Deep Deepseek V4 Flash?
Deep Deepseek V4 Flash: $0.308/M output tokens; Baidu DeepSeek V3.2: $0.411/M. Use the cost calculator above to estimate your own workload.
What inputs and capabilities does each model support?
Baidu DeepSeek V3.2 accepts text input and supports tool calling, function calling and structured outputs; Deep Deepseek V4 Flash accepts text input and supports tool calling, function calling and structured outputs.
Can I call Baidu DeepSeek V3.2 and Deep 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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