1. Smartest non-reasoning model

• Highest intelligence among models without a reasoning step.
• Great for tasks where speed + accuracy matter without deep chain-of-thought.

2. Excellent instruction following

• Very strong at structured tasks, formatting, and precise execution.
• Ideal for productized workflows and deterministic outputs.

3. Reliable tool calling

• Works smoothly with Web Search, File Search, Image Generation, and Code Interpreter.
• Supports MCP and advanced tool-enabled API flows.

4. Large 1M-token context window

• Allows extremely long conversations, large documents, and multi-file use cases.
• Handles context-heavy tasks without requiring chunking.

5. Low latency (no reasoning step)

• Faster responses than GPT-5 family when reasoning mode isn't required.
• More predictable timing for production use.

6. Multimodal input

• Accepts text + image.
• Output is text only.

7. Supports fine-tuning

• Can be fine-tuned for specialized tasks.
• Also supports distillation for smaller custom models.

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.