1M
Long-context analysis
Keep large reports, codebases, and source collections in view without constantly rebuilding context.
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
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
Keep large reports, codebases, and source collections in view without constantly rebuilding context.
49B
A large MoE design aims at difficult knowledge, reasoning, coding, and long-horizon Agent work.
3×
Non-think, Think High, and Think Max let the model trade response speed for deeper analysis.
MODEL × BROWSER
The model reasons. Tabbit connects that reasoning to the web workspace where the task actually lives.
Attach an open tab, a tab group, a screenshot, a bookmark, or a local file without copy-and-paste.
Research across sites, extract facts, fill forms, and organize results in a separate task group.
Keep one browser workflow and choose the available model that best fits speed, depth, or language.
Review important actions and outputs before treating an AI result as final.
HOW TO USE IT
You can install Tabbit now. The model-selection step becomes available only after Tabbit adds DeepSeek V4 Pro.
Install the free macOS or Windows build and import your existing browser data if needed.
Start a new AI conversation and check the model list for DeepSeek V4 Pro.
Type @ to reference the pages, files, screenshots, or tab groups relevant to the task.
Use chat for analysis, or Agent Mode when the job requires browsing and multi-step execution.
WORKFLOW PREVIEW
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
ACCESS PATHS
The best route depends on whether you want infrastructure control or a ready-to-use workspace.
| Dimension | Run locally | Use an API | Use in Tabbit |
|---|---|---|---|
| Setup | Specialized GPU stack | Key, billing, client setup | Install the browser |
| Web context | Build it yourself | Build it yourself | @ tabs, files, screenshots |
| Task execution | Custom tools | Custom orchestration | Agent Mode and Skills |
| Availability | Preview weights/providers vary | Formal API not released yet | Support not announced yet |
FAQ
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.
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.
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.
No local deployment should be needed for a hosted Tabbit integration. Exact access terms, limits, and regional availability can only be confirmed after launch.
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.
Install Tabbit now, learn the context and Agent workflow, and check the model picker after V4 Pro support is announced.