Quick Facts
| Developer | DeepSeek |
| License | MIT |
| Typical Sizes | 671B -- cloud tag only, deepseek-v3.2:cloud. No local weight tag currently listed on Ollama. |
| Modality | Text only -- no vision/image input on this Ollama release |
| Best For | Code agents, technical troubleshooting, long-context reasoning, tool-assisted workflows |
| Recommended Deployment | Terminal.Glass Cloud tier (only access path today) |
Why Choose This Model
V3.2 carries forward hybrid thinking/non-thinking modes and native tool calling from the V3.1 line, and adds DeepSeek Sparse Attention (DSA) -- an architecture change aimed at reducing compute cost on long contexts while preserving reasoning quality. It supports a 160K context window, which suits agent workflows that need to hold large amounts of retrieved or generated context. Unlike V3.1, DeepSeek has not yet published a local weight tag for V3.2 on Ollama, so cloud is currently the only supported access path regardless of your hardware budget.
Terminal.Glass Deployment
Your interface, chat history, user accounts, and RAG index stay on your Terminal.Glass host.
Each request to deepseek-v3.2:cloud
-- including prompt text, code, and retrieved context -- is sent to Ollama Cloud for inference and
streamed back. This tag is billed at Ollama's high-usage tier; long contexts and thinking-mode
prompts increase token consumption. No local GPU is required, and none is currently available as
an alternative for this specific version.
Recommended Uses
- Coding agents, repository walkthroughs, and implementation planning
- Long-context technical troubleshooting and refactoring support
- Tool-assisted, multi-step agent workflows
- Research synthesis and documentation drafting over public or non-sensitive material
Not recommended for regulated data, credentials, unpublished source code, or client-confidential material -- all request content leaves your network for this tag. Also not suitable for vision or image-based tasks; this release is text-only.
Hardware Guidance
The Terminal.Glass host needs to run Open WebUI, the Ollama client, and your document index -- a small VM or mini-PC is sufficient, since all inference happens on Ollama Cloud. There is currently no local weight release for V3.2, so this isn't a choice between local and cloud hardware sizing the way it is for some other models in the DeepSeek family -- cloud is the only supported path until DeepSeek publishes local weights. Watch the official Ollama listing for changes.
Honest Guidance
- Regulated or confidential data: no local V3.2 tag exists yet -- use a different model with a local release, or wait for one, if data must stay on owned hardware.
- Heavy sustained usage: recurring high-usage cloud billing can exceed owned inference hardware costs over time, once a local option exists.
- Routine, low-complexity tasks: a smaller model is often sufficient and cheaper.
- Vision or multimodal needs: this release is text-only; choose a different model family.
- Version pinning or audit reproducibility: cloud tags can change server-side; a pinned local checkpoint offers more control once available.
Learn More
Full technical reference and licensing detail for the DeepSeek family are documented on NoCloudGPT. Confirm current tags and availability at ollama.com/library/deepseek-v3.2.