Tabbit
Google's stable Flash model released in September 2026 for long-running coding, complex agents, and multimodal input. Availability in Tabbit depends on the live model picker for your account.
Use in Tabbit Gemini 3.8 Flash
Gemini 3.8 Flash · Model overview
A compact view of reviewed task guides, public evaluations, and evidence boundaries. Client access still depends on your current account.
Specifications checked 2026-09-20 · Model access and permissions must be checked in the current Tabbit account.
Extract structured data, build a visual prototype, or start a coding task.
Have the model propose constrained function calls, validate and execute them in the application, then return function_result with a clear execution boundary.
Use Gemini 3.8 Flash to extract facts from long documents into stable JSON, then validate the result in your application.
Convert requirements, constraints, and acceptance criteria into a staged coding plan with inspectable outputs at every step.
Turn a visual brief into a runnable Three.js prototype with explicit scene, interaction, performance, and acceptance constraints.
Public results use different versions, tiers, and harnesses; unknown values stay unknown.
Google's release table gives 3.8 Flash higher corresponding scores than 3.7 Flash, while not beating every competing model on every item. These are vendor-reported results, not independent re-tests.
Reopened on 2026-09-20, Artificial Analysis v4.3.2 shows Intelligence Index 41 for High, 40 for Medium, and 33 for Low; High is listed at 305 tok/s while current Medium and Low speed are unknown. The Sep 8 v4.3 figures are historical.
The profile reopened on September 20 shows derived IQ 124 and rank 16. Some dimensions lack direct measured coverage; this is not a task-performance guarantee.
Explore Gemini 3.8 Flash configuration guidance, reusable prompts, independent benchmarks, and real-world reports from Reddit and X, with methods and limitations preserved.