Multimodal AI Complete Guide: Text, Images, Audio & Video
Master multimodal AI capabilities across GPT-4o, Gemini, and Claude. Learn pricing, use cases, and implementation strategies.
Multimodal AI Complete Guide: Text, Images, Audio & Video
Multimodal AI models can process and understand multiple types of content simultaneously. This guide covers capabilities, pricing, and practical implementation across all major providers.
Multimodal Capabilities by Provider
OpenAI GPT-4o
- Text and image input/output with high accuracy
- Real-time audio conversations and voice synthesis
- Image generation via DALL-E integration
- Document and screenshot analysis
- Code generation from UI mockups
Google Gemini 2.5 Pro
- Native text, image, and video processing
- Audio transcription and analysis
- PDF and document understanding
- Long video content analysis (up to hours)
- Multimodal reasoning across content types
Anthropic Claude
- Text and image analysis (no generation)
- Document and chart interpretation
- Screenshot and UI analysis
- Strong safety filters for visual content
- Academic paper and research document processing
Multimodal Pricing Structure
Multimodal inputs have different pricing than text:
| Content Type | GPT-4o | Gemini Pro | Claude Sonnet |
|---|---|---|---|
| Text (per 1M tokens) | $2.50 | $1.25 | $3.00 |
| Images (per image) | $0.00765 | $0.0025 | $0.024 |
| Audio (per minute) | $0.006 | $0.0025 | N/A |
| Video (per minute) | N/A | $0.0025 | N/A |
Common Use Cases
- Document analysis and data extraction
- Image description and alt-text generation
- Voice assistants and audio processing
- Video content summarization and analysis
- Accessibility applications (screen readers, captions)
- Creative content generation and editing
- Educational content creation
- Medical image analysis (with proper compliance)
Multimodal capabilities are rapidly evolving. New features and pricing models are introduced frequently.
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