DEEPSEEK V4 PRO · RELEASE RADAROFFICIAL STATUS · JUL 31, 2026

Use DeepSeek V4 Pro in Tabbit

A practical path from a one-million-token reasoning model to real browser work—pages, files, research, and Agent tasks in one workspace.

Formal V4 Pro release is coming ASAP

DeepSeek says today’s upgrade applies to V4 Flash only. V4 Pro API and App/Web models are unchanged for now. Tabbit availability is not yet announced.

Free for macOS and Windows. Select V4 Pro after it appears in Tabbit’s model picker.

WHY IT MATTERS

A model built for work that does not fit in one prompt

V4 Pro’s technical profile matters most when the task spans long context, many sources, and multiple steps—not for another isolated chat box.

1M

Long-context analysis

Keep large reports, codebases, and source collections in view without constantly rebuilding context.

49B

Active parameters

A large MoE design aims at difficult knowledge, reasoning, coding, and long-horizon Agent work.

Reasoning modes

Non-think, Think High, and Think Max let the model trade response speed for deeper analysis.

MODEL × BROWSER

Tabbit supplies the context and the hands

The model reasons. Tabbit connects that reasoning to the web workspace where the task actually lives.

01

@ reference pages and files

Attach an open tab, a tab group, a screenshot, a bookmark, or a local file without copy-and-paste.

02

Agent Mode executes the plan

Research across sites, extract facts, fill forms, and organize results in a separate task group.

03

Switch models by task

Keep one browser workflow and choose the available model that best fits speed, depth, or language.

04

You keep approval control

Review important actions and outputs before treating an AI result as final.

HOW TO USE IT

Four steps when V4 Pro arrives in Tabbit

You can install Tabbit now. The model-selection step becomes available only after Tabbit adds DeepSeek V4 Pro.

  1. 01

    Download Tabbit

    Install the free macOS or Windows build and import your existing browser data if needed.

  2. 02

    Open the model picker

    Start a new AI conversation and check the model list for DeepSeek V4 Pro.

  3. 03

    Add browser context

    Type @ to reference the pages, files, screenshots, or tab groups relevant to the task.

  4. 04

    Ask or delegate

    Use chat for analysis, or Agent Mode when the job requires browsing and multi-step execution.

WORKFLOW PREVIEW

From a search to a finished research task

This Tabbit Deep Research example shows the browser workflow: sources stay visible while Agent execution runs beside them. It illustrates the workflow, not current V4 Pro availability.

Explore Tabbit for AI research
Tabbit Browser Deep Research with Google results and Agent execution steps in a side panel
Workflow example: Tabbit Agent researches the web in a separate task panel. The screenshot does not show DeepSeek V4 Pro.

ACCESS PATHS

Local weights, API, or an AI-native browser?

The best route depends on whether you want infrastructure control or a ready-to-use workspace.

DimensionRun locallyUse an APIUse in Tabbit
SetupSpecialized GPU stackKey, billing, client setupInstall the browser
Web contextBuild it yourselfBuild it yourself@ tabs, files, screenshots
Task executionCustom toolsCustom orchestrationAgent Mode and Skills
AvailabilityPreview weights/providers varyFormal API not released yetSupport not announced yet

FAQ

DeepSeek V4 Pro in Tabbit: common questions

01Is DeepSeek V4 Pro available in Tabbit now?

Not yet, based on public information checked on July 31, 2026. DeepSeek says the formal V4 Pro release is coming ASAP; Tabbit support has not been announced.

02What did DeepSeek release today?

DeepSeek launched an upgraded V4 Flash API public beta with stronger Agent benchmarks, Responses API support, and Codex adaptation. It said V4 Pro API and App/Web models remain unchanged for now.

03How will I use DeepSeek V4 Pro in Tabbit?

After it appears in Tabbit’s model picker, select it, reference pages or files with @, then use chat for analysis or Agent Mode for multi-step browser work.

04Will I need to run the 1.6T-parameter model locally?

No local deployment should be needed for a hosted Tabbit integration. Exact access terms, limits, and regional availability can only be confirmed after launch.

05What tasks fit DeepSeek V4 Pro best?

Its published profile points to long-context research, difficult reasoning, coding, tool use, and Agent tasks that benefit from retaining many sources and intermediate steps.

Prepare the browser before the model lands

Install Tabbit now, learn the context and Agent workflow, and check the model picker after V4 Pro support is announced.