Gumloop offers a range of AI models to cater to various needs and complexities of tasks. Our AI models are divided into three main categories: Expert AI models, Advanced AI models, and Standard AI models.

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Expert AI Models

Expert AI models are the most capable models available in Gumloop, designed for handling complex tasks that require advanced reasoning and understanding. These models currently include:

  • OpenAI o3
  • Claude 3.7 Sonnet - Thinking

The benefits of using Expert AI models include:

  • Higher accuracy on complex and specialized tasks
  • Better reasoning capabilities for nuanced problems
  • Lower rate of inaccuracies in generated content
  • Strong performance on specialized and technical requests

However, Expert AI models have these characteristics:

  • Slower response times compared to other models
  • Higher credit cost (30 credits per call)

Expert AI models are best suited for critical tasks where accuracy and reasoning quality are paramount.

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Advanced AI Models

Advanced AI models offer strong performance for many complex tasks while balancing speed and capability. These models currently include:

  • GPT-4.1
  • OpenAI o4-mini
  • Claude 3.7 Sonnet
  • Perplexity Sonar Reasoning Pro
  • Perplexity Sonar Reasoning
  • Perplexity Sonar Pro
  • LLaMA 3 405B Instruct
  • Grok 3
  • Grok 3-mini

The benefits of using Advanced AI models include:

  • Good performance on complex tasks
  • Effective reasoning and content generation
  • Lower error rate than standard models
  • Suitable for most business use cases

These models also have the following characteristics:

  • Moderate response times
  • Higher credit cost (20 credits per call)

Advanced AI models are appropriate for most business use cases that require good performance without the highest credit cost.

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Standard AI Models

Standard AI models offer cost-effective solutions for common tasks while maintaining reasonable performance. These models include:

  • GPT-4.1 Mini
  • Claude 3.5 Haiku
  • Gemini 2.5 Flash
  • Gemma 7B
  • Perplexity Sonar
  • LLaMA 3 70B
  • DeepSeek V3
  • DeepSeek R1

Advantages of Standard AI models include:

  • Lower credit cost (2 credits per call)
  • Faster processing for quicker flow execution
  • Sufficient quality for many common use cases

Standard AI models have these characteristics:

  • Less reliable on complex or ambiguous tasks
  • Higher error rate compared to Advanced or Expert models
  • May struggle with nuanced or technical requests

Standard AI models are suitable for general tasks like basic summarization, simple content generation, and straightforward analysis.

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Additional Models

Gumloop also offers some specialized models with unique characteristics:

  • Azure OpenAI (Requires Credentials): Connect your own Azure OpenAI service to use your own deployment
  • Auto-Select: Automatically selects an appropriate model based on the task

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Vision Models

Gumloop also offers AI Vision models that are designed to analyze and generate visual content. These models can perform tasks such as image recognition, analysis and object detection.

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Models Available for Image Analysis

The “Analyze Image” node offers the following models:

Expert Models (30 credits per call):

  • OpenAI o3
  • Claude 3.7 Sonnet - Thinking

Advanced Models (20 credits per call):

  • GPT-4.1 Vision
  • Claude 3.7 Sonnet
  • Grok 2 Vision

Standard Models (2 credits per call):

  • GPT-4.1 Mini Vision
  • Claude 3.5 Haiku
  • Gemini 2.5 Flash

These vision-capable models are also used in other nodes like the “AI Web Browsing Agent” that require visual understanding capabilities.

Credits are deducted according to the model tier (Expert, Advanced, or Standard) when using these vision models.

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Using Your Own API Keys

For premium users, Gumloop allows you to add your own API keys for various AI services. This can dramatically reduce the credit cost per call (to just 1 credit), allowing you to leverage your existing subscriptions with AI providers.

To add your own API keys, visit the Credentials page in your Gumloop account settings.