Explore Gemini 3.8 Flash
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
Featured prompts
Gemini 3.8 Flash: Google’s Official Model Parameters and API Configuration
One-sentence takeaway Google’s official materials show that the API model ID for Gemini 3.8 Flash is gemini-3.8-flash, aimed at long-horizon software engineering, autonomous agents, and complex enterprise workflows. Calls should use thinkinglevel (low, medium。
Gemini 3.8 Flash: Google's Official Structured Prompting and Agent Workflow
One-sentence takeaway Google's prompting guide provides Gemini 3 Flash with a reusable structured-prompting and Agent workflow: separate roles, constraints, context, tasks, and output formats; plan before executing; and validate the results. It can serve as an。
Gemini 3.8 Flash: Google's Official Function-Calling Configuration and Tool Workflow
One-sentence takeaway Google's function-calling documentation directly shows a Python configuration using model="gemini-3.8-flash": the model proposes only a function name and structured arguments, while the application validates and executes the function, the。
Gemini 3.8 Flash: Google's Official Structured Output Configuration
One-sentence takeaway Google's official model page marks Structured outputs as Supported for the stable gemini-3.8-flash; the structured output documentation gives the exact model configuration as responseformat: type="text", mimetype="application/json", with 。
Gemini 3.8 Flash: Antigravity agy_help Four-Tier Fact-Checking Agent Workflow
One-sentence takeaway The author uses Gemini 3.8 Flash as a dedicated Q&A agent, agyhelp, for the Antigravity CLI: it first checks local structured manuals, then performs read-only environment checks, fetches official documentation when necessary, and refuses 。
Gemini 3.8 Flash: YouTube Video Analysis to Editing-Format Reuse Workflow (X)
One-sentence takeaway The author uses the Gemini 3.8 Flash API as a video observer: it reads a YouTube URL directly, analyzes the visuals, audio, and timeline, and outputs reusable editing rules as JSON. Claude Code then implements the video, with an 8-second 。
Reviews and field notes
Gemini 3.8 Flash: Google’s Official Benchmarks and Reproduction Boundaries
One-sentence takeaway In the comparison table embedded in its launch announcement, Google compares Gemini 3.8 Flash with Gemini 3.7 Flash, Claude Opus 5, Claude Sonnet 5, GPT-5.6 Sol, and GPT-5.6 Terra. Gemini 3.8 Flash scores higher than 3.7 Flash on every co。
Gemini 3.8 Flash: Artificial Analysis Intelligence, Speed, Pricing, and Latency
One-sentence takeaway Gemini 3.8 Flash's speed and latency vary substantially by reasoning tier: Artificial Analysis's current v4.3 pages record 285.9 tok/s and 17.36 seconds to the first answer token for high, 246.3 tok/s and 8.29 seconds for medium, and 265.。
Gemini 3.8 Flash: AI IQ Capability Benchmarks and Task Boundaries
One-sentence takeaway AIIQ's current model page gives Gemini 3.8 Flash an AI IQ of 125, ranked 14/131, and lists scores from 8 source benchmarks. Academic reasoning has 5/6 coverage, programmatic reasoning only 1/6, and reliability 2/7, while abstract reasonin。
Vals AI Finance Agent v2: Professional Finance Agent Benchmark for Gemini 3.8 Flash
One-sentence takeaway On the overall Vals AI Finance Agent v2 tasks, Gemini 3.8 Flash achieved 61.44% ± 0.13 Partial Credit, ranking No. 1 among the 58 systems listed on the page; its strict All-Pass score was 49.69% ± 0.42, ranking No. 2. It is suitable for e。
SimpleBench: Gemini 3.8 Flash on Everyday Reasoning and Language-Trap Questions
One-sentence takeaway The current SimpleBench leaderboard lists Gemini 3.8 Flash at No. 4 with 82.4% (AVG@5); it is below the highest human score of 95.4% and Claude Fable 5.1's 86.6%, and also below the human baseline of 83.7% (by 1.3 percentage points). This。
Explore Gemini 3.8 Flash
Explore Gemini 3.8 Flash configuration guidance, reusable prompts, independent benchmarks, and real-world reports from Reddit and X, with methods and limitations preserved.