GPT-4.1 Chat

Advanced chat-optimized large language model from OpenAI. Best for complex dialog, tool calling, structured output, and long-context reasoning. Inference only — no training or fine-tuning.

When to use:

• Building conversational assistants or chatbots
• RAG (Retrieval-Augmented Generation) pipelines
• Structured output extraction from text
• Long-context document analysis

Input: Chat message history (user/assistant turns) Output: Generated assistant response text

Inference Settings

Temperature (default: 0.7, range: 0.0–2.0) Controls creativity and randomness of the output.

• 0.0: Fully deterministic, always picks the most likely token
• 0.7: Balanced default — coherent but varied
• 1.5+: Very creative, more likely to hallucinate

Max Tokens (default: 512) Maximum number of tokens the model will generate in a single response.

• Lower values: Shorter, faster responses
• Higher values: Longer completions — set according to expected output length