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Introduction to the OpenAI Ecosystem — ChatGPT Essentials

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Introduction to the OpenAI Ecosystem

💬 ChatGPT Essentials 10 min 100 BASE XP⌨ HANDS-ON LAB

The ChatGPT Revolution

OpenAI's ChatGPT brought generative AI to the mainstream. The ecosystem extends beyond the chat UI and includes production APIs, custom GPT experiences, and agent-oriented tooling.

Use the Official Model Reference as Source of Truth

OpenAI updates model availability over time. For production work, always rely on the official OpenAI model reference and changelog instead of hardcoded model assumptions in app code or prompts.

Verified practice: Build against documented model families (GPT and o-series) and pin explicit model IDs in production. Revalidate aliases and deprecations during each release cycle.

Core Platform Capabilities

CapabilityWhat it gives youWhere to verify
Responses APIUnified text + tool orchestration entrypointOpenAI API docs
Function / Tool CallingStructured execution against external systemsOpenAI API docs
Web Search / File Search / Computer UseHosted tools for grounded and agentic workflowsOpenAI platform docs
Realtime & GPT-Live-1Low-latency interactive voice and streaming scenariosOpenAI API docs

OpenAI Official Model Lifecycle & Status Matrix

Model ID / FamilyCategoryLifecycle StatusProduction Recommendation
GPT-6 Astra (gpt-6-astra)Frontier Omni & Reasoning Flagship● ACTIVE (Flagship)Premier choice for complex multi-agent reasoning, software engineering, web search, and computer use (1.05M context, 128K max output, $10.00/$50.00 per MTok, $1.00 cached input)
GPT-6.1 Sol (gpt-6.1-sol)High-Efficiency Frontier Reasoning● ACTIVE (Recommended)Near-Astra coding and multi-agent reasoning ($2.00/$10.00 per MTok, $0.10 cached input, 1.05M context, 128K max output; 2x input above 272K tokens)
GPT-6.1 Terra (gpt-6.1-terra)Balanced Multimodal & Computer Use● ACTIVE (Recommended)Efficient model for visual reasoning, writing, and computer use ($1.00/$5.00 per MTok, $0.05 cached input, 1.05M context, 128K max output)
GPT-6 Luna (gpt-6-luna)High-Volume Fast Intelligence● ACTIVE (Recommended)Official successor to GPT-4o & GPT-4o-mini for high-throughput tasks ($0.10/$0.50 per MTok, $0.01 cached input, 1.05M context, 128K max output; supports reasoning.effort: "none")
GPT-5.6 (Sol / Terra / Luna)Transitional Intelligence Tiers● ACTIVETiered transitional generation bridging o-series reasoning to GPT-6 (~1.05M context; Sol promotional pricing through Nov 21, 2026)
GPT-5.5 / GPT-5.5 ProPrior Frontier Generation● ACTIVEPrior foundational frontier generation (~1.05M context, ~$5/$30 standard and $30/$180 Pro per MTok); new builds generally prefer GPT-6 Astra or GPT-6.1 Sol
GPT-Live-1 / gpt-realtime-2.1Realtime Conversational Audio● ACTIVE (Realtime)Full-duplex speech-to-speech ($0.05/min on GPT-Live-1) and low-latency WebRTC/WebSocket voice reasoning with server-side VAD
GPT Image 2 (gpt-image-2)Multimodal Image Generation● ACTIVE (Flagship Image)Standard image generation & conversational editing model replacing retired DALL-E 3 and gpt-image-1
GPT-4o / GPT-4o-mini / GPT-4.1Legacy Multimodal & Chat▲ DEPRECATED (Sunset Jan 14, 2027)Deprecated Oct 14, 2026; API shutdown (including fine-tunes) on Jan 14, 2027. Migrate to gpt-6-luna or gpt-6.1-terra
o3 / o3-proLegacy Frontier Reasoning▲ DEPRECATED (Sunset Dec 11, 2026)Scheduled hard API shutdown on December 11, 2026; migrate to gpt-6.1-sol, gpt-6-astra, or gpt-5.6-sol
o1 / o1-pro / o3-mini / o4-miniRetired o-Series Reasoning■ SHUT DOWN (Oct 23, 2026)Retired on October 23, 2026 (endpoints return 404); migrate workloads to gpt-6.1-sol, gpt-6-luna, or gpt-5.6
Assistants API (v1 / v2)Stateful Agent Endpoint■ RETIRED / SUNSET (Aug 26, 2026)Permanently shut down August 26, 2026; migrate to Responses API (/v1/responses), Conversations API, or OpenAI Agents API
Legacy Completions & GPT-3.5 / GPT-4 TurboLegacy Text & Chat Models■ SHUT DOWNFully retired (final snapshots shut down by Oct 23, 2026); migrate to Responses API with gpt-6-luna
gpt-realtime-miniEarly Realtime Voice■ DEPRECATEDSuperseded by gpt-realtime-2.1, gpt-realtime-2.1-mini, and GPT-Live-1

Model Governance Best Practice

  • Pin model versions in production.
  • Track deprecations and migration notices in release docs.
  • Re-test prompts and tool schemas when switching model IDs.

Prompting Fundamentals

A good prompt provides Context, Task, Instructions, and Formatting Guidelines. Instead of asking "Write a blog post about AI," try: "Act as a senior tech writer. Write a 500-word blog post about the impact of AI on web development. Use a professional but accessible tone, and structure it with H2 headers and bullet points."

Pro Tip: Always assign a persona (e.g., "Act as a senior software engineer") to immediately shift the model's tone and vocabulary to the desired domain.
⌨ HANDS-ON LABQuery Active OpenAI Models
⭐ +100 XP

Verify which models are available on your OpenAI account. Query the official /v1/models endpoint via REST.

1Send a GET request to https://api.openai.com/v1/models with your Bearer token.
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 1 — type "hint" if stuck
SYNAPSE VERIFICATION
QUERY 1 // 4
What is the safest way to choose an OpenAI model for production?
Use whichever name appears in social posts
Pin model IDs from the official model reference and monitor deprecations
Always use the newest alias blindly
Never update model settings