What is OpenAI

OpenAI is one of the best-known AI companies in the market, spanning consumer products, developer tooling, and enterprise AI workflows. Today it serves end users through ChatGPT and builders through APIs, agents, image tools, voice features, and coding products such as Codex.

Its history matters because it helps explain the platform’s reach. OpenAI was founded in 2015, launched its first GPT language model research in 2018, moved into mainstream commercial awareness with GPT-3 in 2020, and then became a mass-market product company after the launch of ChatGPT in late 2022. Since then it has expanded from a chat assistant into a broader AI stack covering multimodal generation, reasoning models, enterprise controls, and production API use.

For many teams, the appeal is simple: one vendor can cover everyday chat, research, coding, multimodal generation, structured outputs, and production AI access inside the same ecosystem.

Core offerings

  • ChatGPT for day-to-day work, writing, analysis, research, and file-based tasks.
  • API access for custom apps, agents, backend workflows, and product integrations.
  • Reasoning and non-reasoning model options for balancing cost, speed, and quality.
  • Image generation, advanced voice, deep research, and coding workflows through Codex.
  • Business controls including workspace administration, SSO, privacy controls, and analytics on paid plans.

Pricing

As of July 18, 2026, OpenAI’s Business plan is listed at US$20 per user per month when billed annually, or US$25 per user per month when billed monthly. Enterprise pricing is custom. OpenAI also uses flexible credit-based pricing for some advanced features and higher-end model usage in Business and Enterprise environments.

Model footprint

OpenAI’s public Business pricing page currently shows multiple GPT-5-family options, reasoning variants, legacy models, and o-series reasoning models. The exact menu changes over time, so the most useful way to assess OpenAI is not a fixed model count but the fact that it offers several quality/cost tiers inside one stack.

Why select OpenAI

OpenAI is strong when you want one platform that feels polished for non-technical users and powerful for builders. The ecosystem around ChatGPT, API tooling, agent workflows, connectors, and broad third-party support is a practical advantage. It is also one of the easiest platforms to pilot quickly with stakeholders because most people already understand the product category.

Official sources: OpenAI pricing, Flexible pricing overview.

Current models

OpenAI publishes much richer live model metadata than most vendors. Where training data details are not public, the table says so explicitly rather than guessing.

ModelContext / outputKnowledge / trainingPricing / token useSpeed / notes
GPT-5.6 Sol
gpt-5.6-sol
1.05M context
128K max output
Knowledge cutoff: 16 Feb 2026
Training data: not publicly disclosed
US$5 input / US$0.50 cached / US$30 output per 1M tokensFrontier model for complex professional work and coding; full tool support
GPT-5.6 Terra
gpt-5.6-terra
1.05M context
128K max output
Knowledge cutoff: 16 Feb 2026
Training data: not publicly disclosed
US$2.50 input / US$0.25 cached / US$15 output per 1M tokensBalance of intelligence and cost; lower price than Sol
GPT-5.6 Luna
gpt-5.6-luna
1.05M context
128K max output
Knowledge cutoff: 16 Feb 2026
Training data: not publicly disclosed
US$1 input / US$0.10 cached / US$6 output per 1M tokensLowest-cost GPT-5.6 tier for high-volume traffic
GPT-Realtime
gpt-realtime
32K context
4,096 max output
Knowledge cutoff: 1 Oct 2023
Training data: not publicly disclosed
Text: US$4 input / US$0.40 cached / US$16 output per 1M tokens
Audio: US$32 input / US$0.40 cached / US$64 output per 1M tokens
Realtime text and audio I/O over WebRTC, WebSocket, or SIP
GPT Image 2Image generation / edit modelKnowledge cutoff: not published on the public model page
Training data: not publicly disclosed
Usage billed on image-generation metrics rather than plain text-token pricingOpenAI’s current state-of-the-art image generation model