1. Cost-Efficient Image Generation

• A budget-friendly version of GPT Image 1 designed for high-volume or cost-sensitive workflows.
• Offers strong visual generation quality at significantly reduced per-image prices.

2. Natively Multimodal Architecture

• Accepts both text and image inputs, enabling:
  • Image-to-image transformations
  • Visual editing based on reference photos
  • Enhanced control via mixed inputs
• Outputs high-quality images aligned with the prompt or reference.

3. Flexible Resolution & Quality Options

• Supports three quality tiers (Low, Medium, High).
• Available in multiple resolutions:
  • 1024x1024
  • 1024x1536
  • 1536x1024
• Allows users to choose between affordability and visual detail.

4. Practical for Real-World Applications Ideal for:

• Marketing visuals
• UI/UX mockups
• Concept art
• Prototyping & brainstorming
• Lightweight creative tools within SaaS platforms

5. Broad API Integration Works across all major endpoints:

• Chat Completions
• Responses
• Realtime
• Assistants
• Image generation & image edits
• Batch and embedding pipelines for more complex workflows.

6. Streamlined Feature Set for Simplicity

• No streaming, function calling, structured output, or fine-tuning.
• Focused exclusively on reliable, easy-to-use image generation.

7. Snapshot Support for Consistency

• Supports stable snapshots so developers can lock behavior and ensure reproducible outputs across deployments.

1. High-intelligence small reasoning model

• Delivers strong reasoning performance in a compact footprint.
• Ideal for tasks that need intelligence but must stay cost-efficient.

2. Excellent for developer workflows

• Supports Structured Outputs, function calling, and Batch API.
• Reliable for backend automation, agents, and data-processing pipelines.

3. Strong text reasoning capabilities

• Handles multi-step logic, natural language analysis, SQL translation, entity extraction, and content generation.
• Works well for landing pages, policy summaries, and knowledge extraction (as shown in built-in examples).

4. 200K context window

• Allows large documents, multi-step analysis, and long-running conversations.
• Reduces the need for aggressive chunking or external retrieval systems.

5. High 100K-token output limit

• Enables long explanations, multi-section documents, or detailed reasoning sequences.

6. Pure text-focused model

• Input/output is text-only (no image or audio support).
• Optimized for language-heavy reasoning and logic tasks.

7. Broad API compatibility

• Works across Chat Completions, Responses, Realtime, Assistants, Embeddings, Image APIs (as tools), and more.
• Supports streaming, function calling, and structured outputs.

8. Cost-efficient for production at scale

• Same cost/performance profile as o1-mini but with higher intelligence.