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Fineguide uses a credit-based system to give you maximum flexibility when working with different AI models. Here's how it works:
Credits are used to standardize usage across various large language models (LLMs) from top vendors like OpenAI, Anthropic, Google Gemini, and more.
Each message you send consumes credits based on the model you choose. More powerful models may use more credits per message.
Every plan includes a monthly credit allowance. These credits renew every month and can be used with any supported model.
Need more? If you use up your credits, you automatically move into extra credits, billed at your plan's overage rate.
Higher plans come with lower extra credit costs, giving you better value as your usage grows.
Each model consumes a different number of credits per message based on its capabilities.
Vendor | Model | Credits |
---|---|---|
Gpt-4o mini | 1 | |
Gpt-4o | 20 | |
Gemini Flash 1.5 | 1 | |
Gemini Pro 1.5 | 5 | |
Gemini Pro 1.0 | 2 | |
Gemini Ultra 1.5 | 10 | |
Claude 3.0 Haiku | 1 | |
Claude 3.5 Sonnet | 15 | |
Sonar | 2 | |
Sonar-Deep-Research | 5 | |
Sonar-Pro | 8 | |
Sonar-Reasoning | 10 | |
Sonar-Reasoning-Pro | 15 | |
xAI Grok | 5 |
Voice models consume credits based on the number of characters processed.
Vendor | Model | Credits | Unit |
---|---|---|---|
|
Turbo 2.5 | 8.5 | Per 100 Characters |
Advanced analytics service for evaluating agent performance, client satisfaction, and conversation metrics in call centers.
Service | Description | Credits | Unit |
---|---|---|---|
Fineguide VoiceQA | Call Analysis & Evaluation | 50 | Per Minute |
Due to the frequent updates in AI models and the complexity in understanding differences between them, Fineguide is transitioning to a smart model selection system based on agent intent. This will automatically choose the most appropriate model for your specific needs, optimizing both performance and credit usage.