GPT Image 1.5 vs GPT-4o mini Audio

1. State-of-the-Art Image Generation

• Produces high-quality, detailed images optimized for realism, style control and prompt fidelity.
• Designed to handle complex visual scenes, compositions and lighting conditions.

2. Natively Multimodal Architecture

• Understands and reasons over both text and images as inputs.
• Ideal for workflows like editing based on reference images, expanding sketches or mockups and visual concept development.

3. Flexible Output Resolutions & Quality Levels

• Supports multiple resolutions including 1024x1024, 1024x1536 and 1536x1024.
• Offers three quality tiers (Low, Medium, High) to balance cost, speed and maximum detail.

4. Multiple Pricing Models

• Pay-per-token for multimodal input: text tokens and image tokens.
• Pay-per-image generation for final output: low, medium and high quality tiers.
• Enables businesses to balance cost and output needs.

5. Broad Use Cases

• Product photography and marketing assets.
• Illustration, concept art and creative ideation.
• UX/UI mockups.
• Style-guided image creation.
• Generating reference images for design or storytelling.

6. Supported Across Major API Endpoints

• Available via Chat Completions, Responses, Realtime, Assistants and Images (generations/edits) endpoints.
• Allows tight integration into automated creative pipelines or user-facing apps.

7. Simplified Model Behavior for Stability

• No streaming, function calling, structured outputs or fine-tuning; focused solely on high-quality image generation.

8. Consistent Results via Snapshots

• Supports snapshots for version locking to ensure long-term reproducibility.

9. Ideal For

• Designers, marketers and creatives.
• Product teams needing image assets.
• App builders integrating image generation workflows.
• Agencies producing visual content at scale.

1. Affordable multimodal audio model

• Extremely low-cost audio + text model for production-scale usage.
• Ideal for startups and high-volume traffic apps.

2. Fast real-time performance

• Low latency suitable for responsive voice assistants, AI phone bots, IVR flows, and audio chat apps.
• Great when speed matters more than deep reasoning.

3. Audio input and audio output

• Accepts raw audio (speech, recordings, commands).
• Generates natural audio responses via the REST API.

4. Large 128K context window

• Handles long conversations, transcriptions, and extended instructions.
• Supports multi-step voice workflows or multi-part inputs.

5. Great for lightweight reasoning workloads

• Performs well for classification, instructions, Q&A, rewriting, and audio-driven tasks.
• Good for voice agents that don't need high-end reasoning like GPT-5.1.

6. Works across major endpoints

• Chat Completions, Responses API, Realtime API, Assistants, Batch.
• Supports streaming and function calling.

7. Scalable for commercial production

• Perfect for customer support hotlines, appointment bots, FAQ voice agents, or embedded voice UI in apps.
• Reliable and predictable output behavior given its price.

8. Preview model designed for experimentation

• Lets teams prototype voice-first features with minimal cost.
• Useful stepping-stone before upgrading to GPT-4o Audio or GPT-5 audio models.