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Evaluate Text Outputs from Multiple Models Side-by-Side


Load up to 4 text outputs and compare them in a synchronized side-by-side view. Perfect for evaluating responses from different LLMs / multimodal models, A/B-testing prompt variants, or checking how the same input is interpreted by different model families. Read all answers at once, spot differences fast, and pick the best output without copy-pasting between tabs.

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What it does

Text Compare displays up to 4 text outputs in a side-by-side view. Feed it the outputs from multiple models (e.g., Gemma 4 31B and Qwen3.6-35B-MoE responding to the same prompt) and the panels populate so you can read them in parallel. Compare answer quality, factual accuracy, tone, completeness, or formatting instantly. Essential for model evaluation, prompt tuning, and routing decisions in any text-generation workflow

Problem it solves

Input/Output

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How to Use

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  1. Build your flow → Set up your text sources. Common pattern: a single Text Input feeding the same prompt to multiple LLM / multimodal nodes (e.g., Gemma 4 31B and Qwen3.6-35B-MoE), each producing a separate text output.

  2. Add Text Compare → Drop a Text Compare node onto the canvas and connect each model's text output to one of the 4 input ports on the left

  3. Run Flow → Each model runs and its response populates the corresponding panel in Text Compare

    Screenshot 2026-05-14 at 12.32.45 PM.png

  4. Read side-by-side → Open the Text Compare node to view all responses in parallel and pick the best one (or take notes on differences for further prompt/model tuning) </aside>

Features