Prompt Chain

Compare Gemini Live models by grading spoken responses

Compare Gemini 3.8 Live and Extended Thinking models by evaluating their spoken-response transcripts using promptfoo's grading framework.

Works with googlegemini

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Updated today
Source checked Sep 20, 2026
Version 0.123.1

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Why it matters

Evaluate and compare Google's Gemini 3.8 Live and Extended Thinking models by running test scenarios and grading their spoken-response transcripts to determine which model performs better for your use case.

Outcomes

What it gets done

01

Run parallel evaluations of Gemini Live and Extended Thinking models

02

Grade spoken-response transcripts from both model variants

03

Compare standard Live responses against Extended Thinking outputs

04

Analyze model performance with configurable reasoning depth settings

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/pfoo-google-live | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

Reports

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Steps

Steps in the chain

01
Set API Key
02
Initialize Project
03
Navigate to Project Directory
04
Run Evaluation
05
View Results

Overview

Google Live

This prompt chain evaluates and compares two Google Gemini model variants - Gemini 3.8 Live and Extended Thinking - by grading their spoken-response transcripts. Both models generate audio output with text transcripts, and Extended Thinking uses LOW reasoning mode with background processing before evaluation. Use this when you need to compare Gemini 3.8 Live and Extended Thinking models through their spoken-response transcripts. The workflow runs evaluations using promptfoo and provides grading results for both model variants.

What it does

This prompt chain compares two Google Gemini model variants - Gemini 3.8 Live and Extended Thinking - by grading their spoken-response transcripts. Both models return audio output with accompanying text transcripts. Extended Thinking defaults to LOW reasoning mode and waits for background reasoning to complete before grading begins.

When to use - and when NOT to

Use this when you need to compare Gemini 3.8 Live and Extended Thinking models through their spoken-response transcripts. The workflow runs evaluations using promptfoo and provides grading results for both model variants.

Do not use this if you need to evaluate models other than Gemini 3.8 Live and Extended Thinking, or if you need evaluation methods beyond transcript grading.

Inputs and outputs

You provide a Google AI Studio API key (set as GOOGLE_API_KEY or GEMINI_API_KEY) and test prompts for the models to respond to. The workflow returns audio responses from both Gemini 3.8 Live and Extended Thinking models, along with text transcripts in output.text format, plus grading results comparing their performance.

How to use

Initialize and run the evaluation workflow:

npx promptfoo@latest init --example google-live
cd google-live
npx promptfoo@latest eval --no-cache -j 1
npx promptfoo@latest view

The view command launches a web interface to inspect results.

Integrations

This workflow integrates with Google AI Studio for API key management and authentication. It uses the promptfoo evaluation framework for model grading and comparison. The Google Live provider supports audio input, multi-turn conversations, and tool calling capabilities for extended testing scenarios.

Who it's for

This asset is for users who need to compare Gemini 3.8 Live and Extended Thinking models by grading their spoken-response transcripts.

Source README

google-live (Gemini 3.8 Live)

Compare Gemini 3.8 Live and Extended Thinking by grading their spoken-response transcripts.

Run

Set GOOGLE_API_KEY or GEMINI_API_KEY to your Google AI Studio API key, then run:

npx promptfoo@latest init --example google-live
cd google-live
npx promptfoo@latest eval --no-cache -j 1
npx promptfoo@latest view

Both models return audio and a transcript in output.text. Extended Thinking defaults to LOW and waits for background reasoning to finish before grading.

See the Google Live provider docs for audio input, multi-turn conversations, and tools.

FAQ

Common questions

Discussion

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