Key takeaways
DeepSeek V4 Pro 0813 is the official V4 Pro checkpoint; the model card says it supersedes the preview.
The checkpoint can be used through a hosted provider or a supported local runtime. Hardware and provider access are separate questions.
The model can use tools only when the selected client or harness exposes them. Tabbit CLI is the local browser connection layer.
A signed-in session can be reused in a separate Tabbit task tab, while your normal tabs stay available.
For shared team material, ask for a cited draft and stop before changing permissions or sending it.
Choose the serving path before connecting a browser
| Serving path | What the official source confirms | What you still need to verify |
|---|---|---|
| Hosted API/provider | DeepSeek announced V4 Pro API availability; provider model IDs may vary | Current account access, exact model/version, tool support, data terms |
| Local checkpoint | Hugging Face lists deepseek-ai/DeepSeek-V4-Pro-0813 with vLLM/SGLang routes | Hardware capacity, runtime version, license, operational cost |
| Browser task | Tabbit CLI can connect a compatible local agent to Tabbit Browser | Client can run local CLI; correct account is signed in |
The Hugging Face model card calls 0813 the official release of V4 Pro and lists inference-provider and local-runtime options. DeepSeek’s release notes say V4 Pro is available in its app/web and API, with model names unchanged. Neither source says every third-party client exposes browser tools. Checkpoint card · DeepSeek API release
Connect the local browser path
Install Tabbit Browser and sign in to the team pages you are allowed to read. In a compatible local agent, load the Tabbit skill using the client’s real entry point. Pi uses /skill:tabbit; some clients use /skills or discover installed skill files. Verify that the client can launch Tabbit CLI on the same computer. Then confirm the selected provider serves the exact 0813 model and exposes the tools your client needs.
A separate task tab gives the agent a focused workspace while your normal tabs remain available. The local browser session and the model API are different connections. A cloud-hosted agent cannot reuse a local browser session unless its product documents a bridge. If it cannot, hand the task to a local agent or keep the page step manual.
Draft a source-backed team note
Use a read-only task first. The prompt below is an illustrative workflow for approved team pages, not a claim that DeepSeek’s hosted chat product is integrated with Tabbit.
Use only the approved team pages already open in my Tabbit task tab. Read visible text only. Do not edit the source pages or change sharing settings.
Create an unsent document draft named "Weekly decisions — V4 Pro 0813 review". For each decision, include the exact wording in a short paraphrase, page title, source URL, and date only if visible. Put missing owners, dates, or disagreements in a separate Needs review section. Never infer a person's identity.
Stop before sharing. Show me the full draft and a source list for review.
Expected output: cited decision bullets, unresolved fields, source URLs, and the draft link.Compare each claim with the page before you share the note. Check the audience and link permissions in the destination document. A named draft is a review checkpoint, not permission to publish or send it.
Keep the checkpoint and tool path observable
The exact checkpoint matters because an API alias can conceal a deployment change. Record the provider, returned model name, endpoint, and date with the task. The model card’s public benchmark table reports results for the 0813 release, but those results do not tell you whether your client can navigate a browser or access a particular team workspace. In one Reddit hands-on post, a user tested 16 Hack The Box challenges and reported 38.8% versus 36.2% for the older 0423 checkpoint, while cautioning that the sample was small. That is one user’s test, not a guarantee for document work. Reddit test report
Review before sharing
| Review item | Evidence to inspect | Do not proceed when |
|---|---|---|
| Model identity | Provider response and exact version | The provider returns only a vague alias |
| Source scope | Page titles and source URLs | A page is outside the approved workspace |
| Claim accuracy | Every decision against visible source text | The draft adds an owner, date, or conclusion not shown |
| Destination | Named unsent draft and audience | It is already shared broadly or sent |
The existing DeepSeek V4 Pro overview covers the checkpoint, API behavior, and model evidence. Use this article for browser setup and review workflow. For setup mechanics, see the Tabbit CLI guide, existing-browser connection guide, and first-task checklist.
More setup references
| Final check | What to inspect |
|---|---|
| Client entry | Confirm the actual skill command supported by your client |
| Local handoff | Confirm the same machine can launch Tabbit CLI |
| Page evidence | Keep a source URL and visible fields for each claim |
| Review point | Stop at a named, unsent draft |
Verdict
DeepSeek V4 Pro 0813 can be one model in a browser-agent workflow if your actual client and serving route expose the needed tools. Tabbit CLI handles the local browser connection; it does not verify the model host or permissions for you. Keep the first task read-only, name the draft, and review every source before sharing.
FAQ
Is DeepSeek V4 Pro 0813 the same as DeepSeek V4 Pro?
The 0813 checkpoint is DeepSeek’s official release of V4 Pro and supersedes the preview. Pin the exact model ID or checkpoint because provider aliases and deployments can differ.
Can I run the 0813 checkpoint locally?
The Hugging Face model card documents inference options including vLLM and SGLang. It is a very large model, so check hardware, runtime, license terms, and deployment support before planning a local run.
Can DeepSeek V4 Pro control a signed-in browser?
The model can call tools only when its host or harness exposes them. Tabbit CLI is a separate local connection to Tabbit Browser, not an automatic feature of every DeepSeek client.
How do I keep a shared-document draft safe?
Ask for a draft with source URLs and unresolved fields. Review citations and sharing permissions in the browser before changing access or sending the document.
Is the model’s benchmark evidence enough to approve a workflow?
No. Benchmarks do not verify your client integration, browser permissions, account login, or the quality of your organization’s source documents. Test one reversible task.