Cloud Providers

This page will help you set up cloud based providers with LLM Vision

OpenAI

Obtain an API key from OpenAI and enter it during setup. You will need to add credits to you account before making requests.

A pricing calculator is available here: https://openai.com/api/pricing

Recommended Models

gpt-5 Most intelligent and flexible GPT model

gpt-5-mini Fast, affordable small model

See OpenAI API docs for all models.

Anthropic

Obtain an API key from Anthropic and enter it during setup. You will need to add credits to you account before making requests.

Pricing is available here: https://docs.anthropic.com/en/docs/build-with-claude/vision#calculate-image-costs​

Recommended Models

claude-opus-4-0 Most powerful and capable

claude-sonnet-4-0 High-performance with exceptional reasoning

See Anthropic API docs for all models.

Google

To use Google Gemini you need to have a Google account and obtain an API key from the AI Studio. Depending on your region, you may need to enable billing.

Pricing is available here: https://ai.google.dev/pricing​

Recommended Models

gemini-2.5-pro Powerful thinking model for maximum accuracy

gemini-2.5-flash Fast and affordable all-rounder model

See Google API docs for all models.

OpenRouter

Obtain an API key from OpenRouter and enter it during setup. You will need to set up billing for you account before making requests.

Pricing is available here: https://openrouter.ai/models?o=pricing-high-to-low

Recommended Models

See this website to find and compare models: https://openrouter.ai/models?fmt=cards&input_modalities=image

AWS Bedrock

To deploy a model on AWS, your first must request access to models: https://us-east-1.console.aws.amazon.com/bedrock/home?region=us-east-1#/modelaccess.

Once you have access, create an access key here: https://us-east-1.console.aws.amazon.com/iam/home?region=us-east-1#/security_credentials

To use this deployment with LLM Vision you will need:

• Region String

• Access Key

• Secret

Enter these during setup.

Azure AI Foundry

To deploy a model on Azure AI Foundry follow this guide: https://ai.azure.com/doc/azure/ai-foundry/how-to/create-projects?tid=b7091c05-52c5-48a7-a4ef-67c41f1cf3a2#prerequisites

To use this deployment with LLM Vision you will need:

• API key

• Azure OpenAI Endpoint (e.g. https://llmvision.openai.azure.com/)

• Deployment name (e.g. gpt-4o-mini)

Enter these during setup.

Recommended Models

gpt-4o Intelligent and flexible GPT model

gpt-4o-mini Fast, affordable small model

See the model catalog for all models.

Groq

Obtain an API key from Groq and enter it during setup to get started with Groq.

Groq is free to use but limits apply. You can check them here: https://console.groq.com/settings/limits

Note: Groq does not support video and stream analyzers.

Recommended Models

meta-llama/llama-4-maverick-17b-128e-instruct Most accurate

meta-llama/llama-4-scout-17b-16e-instruct Fast

See Groq API docs for all models.