CompareOpenAI and Anthropic
Fig vs. OpenAI and Anthropic
ChatGPT Enterprise and Claude Enterprise, and the deployment companies behind them, tie a company to one model family in the lab's cloud. Fig routes every task to the best model across every lab and the best open-weight models, trains models the company keeps, runs in the company's own cloud, and puts engineers on the work from the first pilot.
Fig vs. OpenAI and Anthropic, in short
OpenAI's and Anthropic's enterprise offers, from ChatGPT Enterprise and Claude Enterprise to the OpenAI Deployment Company and Ode, each tie a company to one model family, with no open-weight models and no model the company owns, running in the lab's cloud under terms the lab can change. Fig routes every task across every frontier lab and the best open-weight models, trains models on the company's data that the company keeps, runs in the company's own cloud, and works hands-on with companies of every size from the first pilot.
Trusted by people from
| Feature | Fig | OpenAI and Anthropic |
|---|---|---|
| Models | Every lab's newest frontier models, routed to the best one for each task. | One model family: OpenAI's or Anthropic's. |
| Open-weight models | The best open-weight models alongside frontier models, for speed and cost. | Not offered in ChatGPT Enterprise or Claude Enterprise. |
| A model of your own | Trained on your data with supervised fine-tuning, preference tuning, reinforcement learning and distillation; the weights are yours. | Weights stay with the lab; OpenAI is ending self-serve fine-tuning. |
| Sovereignty | Runs in your own cloud; no single model or vendor can stop the work. | Runs in the lab's cloud under terms the lab can change with a release. |
| Hands-on delivery | Fig's engineers from the first pilot, on one platform. | Software sold by the lab; hands-on work through separate companies or consulting partners. |
| Built for | Companies of every size, self-serve or hands-on. | Large enterprises: 20-seat minimum for Claude Enterprise, about 150 reported for ChatGPT Enterprise. |
| Pricing | Usage-based, no per-seat licenses. | Per seat plus usage: $20 per seat plus API rates (Claude); about $60 per seat plus credits (ChatGPT, reported). |
Included Partial or with conditions Not offered
ChatGPT Enterprise runs OpenAI's models and Claude Enterprise runs Anthropic's, so every task goes to one family whether or not it is the best one for the job. Fig routes each task to the model that does it best, across every frontier lab and the best open-weight models. Open-weight models handle much of a company's high-volume work at a fraction of the cost, and neither lab's enterprise product offers them.
With either lab, the weights stay with the lab. OpenAI is ending its self-serve fine-tuning service: no new training jobs after Jan 6, 2027, and fine-tuned GPT-4o and GPT-4.1 models shut down with their base models on Jan 14, 2027. Fig trains models on the company's own data and decisions with supervised fine-tuning, preference tuning, reinforcement learning and distillation, and the company keeps the weights.
With either lab, data, prompts and agents run in the lab's cloud under terms the lab sets, and in 2026 those terms moved. On June 9, Anthropic's Fable 5 release overrode customers' zero-retention agreements with 30-day retention. From June 12, a US export directive took Fable 5 offline worldwide for 19 days. On Aug 28, OpenAI gave notice it would stop supplying Cursor from Nov 12. CosmOS runs in the company's own cloud, routes around any single model, and keeps the company's data, decisions and models with the company.
Sovereign AI: the operating playbook →Security & governance →
ChatGPT Enterprise and Claude Enterprise are software sold to large enterprises with seat minimums. Hands-on work sits in separate companies, OpenAI's Deployment Company and Anthropic's Ode, which are funded by private equity investors and build on their parent lab's models, or with consulting partners. Fig's engineers start with a pilot that puts one workflow into production on the company's systems, for companies of every size, and the same platform serves teams that start self-serve.
Companies of every size that want the best model for every task, open-weight models for cost, models of their own that they keep, AI that runs in their own cloud, and engineers who put it into production from the first pilot.
ChatGPT Enterprise and Claude Enterprise each run one lab's models in that lab's cloud, with no open-weight models and no model the company owns. Fig routes every task across every frontier lab and the best open-weight models, trains models the company keeps, runs in the company's own cloud, and comes with engineers who start with a pilot in production.
Yes. The Deployment Company and Ode build on their parent lab's models. Fig's engineers build on every frontier lab and the best open-weight models, train models the company keeps, and run everything in the company's own cloud.
Yes. Fig runs the best open-weight models alongside every lab's frontier models and routes each task to the one that does it best, which keeps high-volume work fast and inexpensive.
Yes. Fig trains models on the company's own data and decisions with supervised fine-tuning, preference tuning, reinforcement learning and distillation, and the company keeps the weights.
No. Fig is usage-based with no per-seat licenses, and companies of every size can start self-serve or with Fig's engineers.
Bring your most important workflow. We'll show it running on Fig with your data, your rules and your choice of models.
Dream big, build fast, and grow far with Fig