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    AI Models ReferenceText Models

    Text Models

    Text models in Armox are powerful large language models (LLMs) that can generate, analyze, and transform text. Many also support multimodal inputs like images and videos.

    Overview

    Text models are the foundation of intelligent workflows. Use them to:

    • Generate content — Write articles, scripts, marketing copy, and more
    • Analyze and reason — Process complex information and provide insights
    • Transform text — Rewrite, summarize, translate, or expand content
    • Understand media — Analyze images and videos with vision-capable models

    Available Text Models

    ModelProviderCostVisionBest For
    GPT-5OpenAI20 credits✅Complex reasoning, detailed analysis
    Gemini 2.5 FlashGoogle10 credits✅ Images & VideoFast multimodal tasks
    Claude 4.5 SonnetAnthropic30 credits✅Long-form content, nuanced writing
    DeepSeek V3.1DeepSeek10 credits❌Cost-effective reasoning
    Grok 4xAI20 credits❌Problem solving, technical tasks
    Llama 3 70BMeta14 credits❌Open-source, versatile
    Llama 3 8BMeta2 credits❌Fast, budget-friendly

    Connection Colors

    In the Armox Canvas, text connections use blue handles and edges:

    • Input Handle: Blue circle on the left side of nodes
    • Output Handle: Blue circle on the right side of nodes
    • Connection Edge: Blue line connecting nodes

    Common Settings

    Most text models share these configuration options:

    System Prompt

    Set the model's behavior and persona. This is like giving the AI its job description before it starts working.

    Max Tokens

    Control the maximum length of the response. Higher values allow longer outputs but cost more.

    Temperature

    Adjust creativity vs. consistency:

    • Low (0.0-0.3): Consistent, focused responses
    • Medium (0.4-0.7): Balanced creativity
    • High (0.8-2.0): More creative, varied outputs

    Top P (Nucleus Sampling)

    Fine-tune response diversity. Lower values make outputs more deterministic.

    Choosing the Right Model

    For Speed and Cost

    • Llama 3 8B (2 credits) — Fastest, most affordable
    • DeepSeek V3.1 (10 credits) — Great balance of speed and capability
    • Gemini 2.5 Flash (10 credits) — Fast with vision support

    For Quality

    • GPT-5 (20 credits) — Best for complex reasoning
    • Claude 4.5 Sonnet (30 credits) — Excellent for writing and nuance
    • Grok 4 (20 credits) — Strong problem-solving

    For Vision Tasks

    • Gemini 2.5 Flash — Images and videos, fast processing
    • GPT-5 — Multiple images, detailed analysis
    • Claude 4.5 Sonnet — Single image with deep understanding

    Best Practices

    1. Be specific — Clear prompts yield better results
    2. Use system prompts — Set context and expectations
    3. Iterate — Refine prompts based on outputs
    4. Match model to task — Don't overpay for simple tasks

    Next Steps

    Explore individual model documentation for detailed settings and use cases: