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

    Available Text Models

    ModelProviderCostVisionBest For
    GPT-5.4OpenAI40 creditsโœ…Complex professional work, coding, multi-step reasoning
    Gemini 3.1 ProGoogle25 creditsโœ… Images, Video, AudioBalanced deep reasoning and multimodal tasks
    Claude Opus 4.6Anthropic60 creditsโœ…Highest quality long-form analysis and coding
    GPT-5OpenAI20 creditsโœ…Complex reasoning, detailed analysis
    Gemini 2.5 FlashGoogle10 creditsโœ… Images & VideoFast multimodal tasks
    Claude 4.5 SonnetAnthropic30 creditsโœ…Long-form content, nuanced writing
    DeepSeek V3.1DeepSeek10 creditsโŒCost-effective reasoning
    Grok 4xAI20 creditsโŒProblem solving, technical tasks
    Llama 3 70BMeta14 creditsโŒOpen-source, versatile
    Llama 3 8BMeta2 creditsโŒFast, 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) โ€” Fastest, most affordable
    • DeepSeek V3.1 (10 credits) โ€” Great balance of speed and capability
    • Gemini 2.5 Flash (10 credits) โ€” Fast with vision support

    For Quality

    • GPT-5.4 (40 credits) โ€” Default frontier model for complex work
    • Claude Opus 4.6 (60 credits) โ€” Premium depth for highest-stakes tasks
    • Gemini 3.1 Pro (25 credits) โ€” Strong multimodal reasoning with medium thinking default
    • GPT-5 (20 credits) โ€” Best for complex reasoning
    • Claude 4.5 Sonnet (30 credits) โ€” Excellent for writing and nuance
    • Grok 4 (20 credits) โ€” Strong problem-solving

    For Vision Tasks

    • Gemini 3.1 Pro โ€” Images, videos, and audio with balanced reasoning
    • GPT-5.4 โ€” Premium multi-image analysis with configurable effort
    • Claude Opus 4.6 โ€” High-quality deep analysis with image support
    • Gemini 2.5 Flash โ€” Images and videos, fast processing
    • GPT-5 โ€” Multiple images, detailed analysis
    • Claude 4.5 Sonnet โ€” Single image with deep understanding

    Best Practices

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

    Next Steps

    Explore individual model documentation for detailed settings and use cases:

    Ready to transform your creative workflow?

    No credit card required1000 free credits