Gate 1
Access and contract
Record entitlement, model, endpoint, service_tier, price, region, capacity, limits, SLA, data controls, owner, budget, and fallback terms.
Independent limited-preview gate
OpenAI Ultrafast Workload Readiness
Describe one latency-sensitive workload, its live entitlement and terms, comparable Standard and Fast baselines, acceptance test, authority, fallback, and recovery. Generate a checklist without calling the API or treating a peak output rate as an SLA.
Four readiness gates
Gate 2
Comparable workload
Pin prompt, context, tools, output cap, concurrency, acceptance rubric, Standard and Fast baselines, client, network, timestamps, and test window.
Gate 3
Latency and value
Measure time to first token, output rate, model time, tool time, end-to-end p50/p95/p99, success, cost per request, cost per accepted task, and fallback rate.
Gate 4
Authority and recovery
Define allowed actions, confirmations, idempotency, timeouts, retries, tier/model mismatch blocking, monitoring, rollback, incident response, and manual operation.
Minimum acceptance evidence
Run repeated, interleaved Standard, Fast, and Ultrafast trials; verify actual response tier and model; retain raw timings and usage; compare task success and cost per accepted task; test peak load, timeout, tier mismatch, unavailable capacity, fallback, duplicate prevention, tool failure, human review, and rollback. Do not grant consequential action authority during the speed evaluation.
Review the service-tier decision
Ultrafast preview guideCheck access, API evidence, speed claims, measurement, and authority.Standard vs Fast vs UltrafastCompare response values, ramp behavior, pricing boundaries, and use cases.
Official facts checked August 19, 2026 against OpenAI's announcement, changelog, Fast guide, and API reference. Recheck live access, terms, model, tier values, price, capacity, region, limits, and SLA.
Frequently Asked Questions
It creates a checklist from access, contract, workload, latency, cost, authority, fallback, and recovery facts you provide. It does not call the OpenAI API, confirm entitlement, benchmark a model, or approve production.
No. It is an OpenAI-reported peak output rate. Input processing, queueing, first token, tools, network, client rendering, and application work also affect end-to-end latency.
Verify the response model and service_tier. Current OpenAI API documentation says an Ultrafast-served gpt-5.6-sol response reports service_tier as ultrafast.
No. A faster model does not authorize deployment, purchase, communication, account change, financial decision, or other consequential action.