DeepSeek V3.2 Exp
Open weightToolsDeepSeek · Released September 2025 · Knowledge cutoff July 2025
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...
It is part of DeepSeek's open-weight line, known for delivering near-frontier reasoning and coding quality at a fraction of typical frontier pricing.
Facts and pricing
- Provider
- DeepSeek
- Context window
- 164K tokens
- Input price
- 3.0 credits / 1M tokens ($0.27 raw)
- Output price
- 4.5 credits / 1M tokens ($0.41 raw)
- Vision (image input)
- No
- Tool calling
- Yes
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.10x margin. Raw prices shown per 1M tokens.
Try DeepSeek V3.2 Exp now
What DeepSeek V3.2 Exp is best for
- Everyday chat and drafting on an open-weight model with transparent lineage
- Long documents: the 164K-token window holds lengthy reports, contracts or papers whole
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
Example prompts
Prompts that suit a open weight model like DeepSeek V3.2 Exp:
- Draft a project update from these rough notes
- Explain how HTTPS works to a curious teenager
- Turn this list of features into a changelog entry
- Brainstorm objections to this proposal and how to answer them
DeepSeek family
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| DeepSeek V4 Pro | 1.0M | 4.8 | 9.6 | April 2026 |
| DeepSeek V4 Flash | 1.0M | 0.99 | 2.0 | April 2026 |
| DeepSeek V3.2 | 131K | 2.5 | 3.8 | December 2025 |
| DeepSeek V3.2 Exp | 164K | 3.0 | 4.5 | September 2025 |
| DeepSeek V3.1 Terminus | 164K | 3.0 | 10.5 | September 2025 |
| DeepSeek V3.1 | 164K | 2.3 | 8.7 | August 2025 |
| R1 0528 | 164K | 5.5 | 23.7 | May 2025 |
| DeepSeek V3 0324 | 164K | 2.6 | 9.9 | March 2025 |
| R1 Distill Llama 70B | 128K | 8.8 | 8.8 | January 2025 |
| R1 | 164K | 7.7 | 27.5 | January 2025 |
Frequently asked questions
- What is DeepSeek V3.2 Exp?
- DeepSeek V3.2 Exp is an AI model by DeepSeek. 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...
- How much does DeepSeek V3.2 Exp cost on Zeplik?
- Input tokens cost 3.0 credits per million and output tokens 4.5 credits per million (1 credit = $0.10; the raw provider rates are $0.27 and $0.41 per million). New accounts start with free credits.
- How long can a conversation with DeepSeek V3.2 Exp be?
- DeepSeek V3.2 Exp has a 164K-token context window (163,840 tokens), which covers the conversation plus any documents you attach.
- Does DeepSeek V3.2 Exp support images and tools?
- DeepSeek V3.2 Exp is text-only and supports tool calling.
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