Before you pay for any OpenAI-compatible API provider, prove the route with a small test. The safest check is not a long agent run. It is one model-list request, one tiny chat request, endpoint-specific checks, and clear evidence that your client used the intended base URL and model ID.
Operator-reviewed
Maintained by the unlimitedcodex operator team responsible for manual API setup delivery, base URL handoff, package dates, and customer support workflows.
Verify the public evidence first
A trustworthy provider should be able to explain what you can test before purchase, what is excluded, and what information you should never share. Do not send private keys, auth headers, billing screenshots, private logs, or sensitive repository data during a fit check.
unlimitedcodex publishes its setup flow, package-to-model mapping, endpoint scope, limits, pricing, and delivery terms before checkout. First create an account and continue to Telegram to request the limited fit test. An operator reviews capacity and fit and may approve limited access for up to one hour; access and credentials are not automatic or guaranteed. Purchased credentials are delivered separately after payment.
Start with /models
The model-list check tells you whether the provider exposes the model IDs your client expects. This matters for Codex IDE, Codex CLI, Cursor, proxy layers, and SDK setups that can silently fall back to a default route when a model string is wrong.
Do not start with a long coding-agent task. First prove that the model IDs, base URL, and auth path are visible to the exact client process that will run the task.
Run one tiny chat/completions request
After /models, send one minimal chat/completions request. Check response shape, error format, latency, retry behavior, and whether logs show the intended request host.
If the first tiny request fails, a long agent run will only make the failure more confusing. Fix the route before testing prompts, tools, or repo-wide automation.
Test each endpoint separately
Chat, embeddings, images, and model discovery can have different support levels. If your product needs embeddings or image generation via API, test those endpoints directly instead of assuming they behave like chat.
For unlimitedcodex, image generation should be described as available via API where the delivered package supports it. Buyers should test the image endpoint and output format before building around it.
Verify the operating limits
Unlimited language is only useful when the operational boundary is explicit. Ask about concurrent connections, abuse safeguards, delivery timing, setup method, and what happens when traffic pressure grows.
GPT-5.5 XHigh is $19/week or an eligible $59 first month followed by $69/month. GPT-5.6 Sol is an eligible $69 first week followed by $89/week, or a $179 first month followed by $199/month. All four advertised packages include unlimited token consumption with 4 concurrent connections and manual setup delivery in 10 minutes to 5 hours.