The platform that started the era — still the broadest toolbox: text, voice, vision, agents and the largest third-party ecosystem.
OpenAI's GPT models power ChatGPT, the product that made LLMs mainstream. For builders, the draw is breadth: one API family covers text, vision, voice, image generation and tool use, plus Codex for agentic coding. The ecosystem around it — SDKs, integrations, hosting on Azure — is the deepest in the industry.
We use GPT models where their breadth pays: voice interfaces, multimodal features, and products whose users already expect ChatGPT-style behaviour. Several of our clients' internal teams standardise on Azure OpenAI for compliance reasons — we meet them there.
GPT against the lab that out-codes it and the lab that out-prices it — the honest current picture.
| Dimension | ChatGPT / GPT | Claude | DeepSeek |
|---|---|---|---|
| Made by | OpenAI | Anthropic | DeepSeek (open weights) |
| Strongest at | Breadth — voice, vision, tools, consumer reach | Agentic coding and long-context reliability | Frontier-class reasoning at a fraction of the price |
| Openness | Closed; some open-weight releases | Closed | Open weights — run it on your own GPUs |
| Cost profile | Premium, falling steadily | Premium | Dramatically cheaper, or free if self-hosted |
| Data residency | Azure regions worldwide | AWS / GCP regions | Anywhere — it's your hardware |
| Ecosystem | Largest by far | Growing fast, engineering-centric | Community-driven |
GPT is the safe broad bet and the ecosystem king. We deploy it confidently — and we still benchmark it against Claude for code and DeepSeek for cost on every new build, because 'default' is not a strategy.
Tell us what you're building — we'll tell you honestly whether ChatGPT / GPT is the right tool for it.