
Learn what an OpenAI-compatible API is, why compatibility matters, how CometAPI works with Chat Completions and Responses API, what models you can run behind it

Master OpenAI Function Calling: move beyond prompt engineering to structured orchestration. Learn strict schema enforcement, security best practices, and agentic workflows. Standardize tool calling across GPT, Claude, and Gemini with CometAPI.

Over 2024โ2025 ChatGPT and its sibling models shifted from being purely conversational LLMs to offering end-to-end deep research capabilities:

On November 12, 2025, OpenAI rolled out GPT-5.1, a focused upgrade to the GPT-5 family that emphasizes conversational quality, instruction-following, and

gpt-image-1-mini is a cost-optimized, multimodal image model from OpenAI that accepts text and image inputs and produces image outputs. It is positioned as a smaller, cheaper sibling to OpenAIโs full GPT-Image-1 family โ designed for high-throughput production use where cost and latency are important constraints. The model is intended for tasks such as text-to-image generation, image editing / inpainting, and workflows that incorporate reference imagery.

By the end of 2025, the competition in AI models will intensify. The upcoming releases of GPT 5.1 and Gemini 3.0 Pro are undoubtedly a major focus. The looming releases are both a signal of competition and a marketing tactic for companies to preemptively seize market share. Now let's examine what GPT-5.1 will bring developers.

The AI world is buzzing: OpenAI is actively developing the successor to GPT-5 (often referred to in press and social posts as โGPT-6โ or jokingly โGPT-6-7โ),

Lately,OpenAI has launched a specialized versionโGPTโ5โCodexโspecifically tuned for software engineering workflows via its Codex brand. Meanwhile, coding-IDE provider Cursor AI has integrated GPT-5 and GPT-5-Codex to enhance developer experience. OpenAIโs GPT-5-Codex and Cursorโs GPT-5 support let developers combine a specialized coding model with an IDE-centric AI workflowโwhat GPT-5 Codex is, how to connect it to Cursor (an AI first IDE), and two practical ways to run the model inside your editor: (1) calling GPT5-codex via CometAPI, and (2) using a native Codex / CodeX integration (extension + CLI).