Model Examples
Model Overview

Model Overview

Infyr.AI provides access to a comprehensive collection of state-of-the-art AI models across different modalities. All models are accessible through our OpenAI-compatible API, making integration seamless with existing applications.

Model Categories

Text Generation Models

We offer a variety of text generation models optimized for different use cases:

  • General Purpose: DeepSeek, Llama, Hermes models for general text generation
  • Code Generation: Specialized models like Qwen-Coder for programming tasks
  • Reasoning: Advanced models like DeepSeek-R1 for complex reasoning tasks
  • High Context: Models with extended context windows for long-form content

Vision Models

Multi-modal models that can process and understand images alongside text:

  • General Vision: Llama-3.2-Vision for image understanding
  • High Performance: Qwen2.5-VL for advanced vision tasks

Embedding Models

Text embedding models for semantic search and similarity tasks:

  • Multilingual: Support for multiple languages
  • Modern Architecture: Latest embedding model architectures

Audio Models

Audio processing capabilities:

  • Speech-to-Text: Whisper model for transcription
  • Text-to-Speech: PlayAI TTS for voice synthesis

Video Models

Video generation and processing:

  • Video Generation: Veo3 and Pixverse models for creating videos from text
  • Multiple Formats: Support for different aspect ratios and durations

Usage Patterns

All models follow the same OpenAI-compatible API patterns:

const response = await openai.chat.completions.create({
  model: "model-name",
  messages: [...],
  // model-specific parameters
});

Pricing

Models are priced based on:

  • Input/Output Tokens: For text models
  • Duration: For audio and video generation
  • Processing Time: For embedding and vision tasks

For detailed pricing information, visit our pricing page (opens in a new tab).

Getting Started

Choose the appropriate model category from the navigation to see detailed examples and usage patterns for each model type.