DeepSeek: DeepSeek V3.2 Exp
Analysis Summary
DeepSeek V3.2 Exp is a DeepSeek text model with tool use, function calling, and a 163,840-token context window. Its listed input and output prices are low. The supplied data includes an intelligence result but no coding, agentic, or instruction-following benchmarks, leaving important questions about its suitability for engineering and automated workflows unanswered.
It can be considered for cost-sensitive text tasks and a limited evaluation of tool-assisted use. The context window supports processing longer inputs, but does not establish dependable long-context reasoning. With no listed vision capability and little benchmark evidence beyond the overall result, human verification should remain part of any workflow that produces client-facing claims or triggers actions.
Its pricing supports a low-cost pilot, not an evidence-based production recommendation. Compare it with tested alternatives on the intended tasks before expanding deployment.
Assessed September 23, 2026
Editorial notes
DeepSeek V3.2 Exp lists tool and function calling, a 163,840-token context, and low pricing, but its measured intelligence is limited and no broader benchmark results are supplied.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
DeepSeek V3.2 Exp lists tool and function calling, a 163,840-token context, and low pricing, but its measured intelligence is limited and no broader benchmark results are supplied.
Benchmarks
Artificial Analysis data refreshed Nov 7, 2026. Arena ratings from the Oct 28, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for DeepSeek: DeepSeek V3.2 Exp yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How DeepSeek: DeepSeek V3.2 Exp compares
DeepSeek: DeepSeek V3.2 Exp ranks #167 of 447 AI models we track for overall intelligence. Its 164K-token context window is larger than 51% of the models we list. At $0.27 per million input tokens it is cheaper than 44% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.27 | $0.000270 |
| Output | $0.41 | $0.000410 |
What would DeepSeek: DeepSeek V3.2 Exp cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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We route routine calls to cheap models and save DeepSeek: DeepSeek V3.2 Exp for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: DeepSeek V3.2 Exp
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism..
Frequently asked questions about DeepSeek: DeepSeek V3.2 Exp
How much does DeepSeek: DeepSeek V3.2 Exp cost?
DeepSeek: DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens.
What is the context window of DeepSeek: DeepSeek V3.2 Exp?
DeepSeek: DeepSeek V3.2 Exp has a context window of 163,840 tokens (164K).
What can DeepSeek: DeepSeek V3.2 Exp do?
DeepSeek: DeepSeek V3.2 Exp supports tool use and function calling.
Who created DeepSeek: DeepSeek V3.2 Exp?
DeepSeek: DeepSeek V3.2 Exp is developed by DeepSeek and was released on September 29, 2025.