Direct answer
This page explains how Singapore-based teams use NextModel's OpenAI-compatible gateway. Understand how to benchmark safe LLM response reuse before enabling production caching. It adds the practical steps, configuration notes, and common questions.
Why this benchmark exists
Most cache benchmarks optimize hit rate. CacheSafety Bench asks a stricter question: can an old answer safely answer a new request without creating a bad hit that users would notice?
| Safe Hit Rate | Reusable answers the user would not notice were cached |
| Bad Hit Rate | Unsafe reused answers |
| Cost Saved / 1K Requests | Estimated savings under a safety constraint |
| Semantic Trap Failure Rate | How often similar-looking prompts still fail reuse |
Hosted and local positioning
The local benchmark is open source and endpoint-neutral. NextModel hosted runs are optional for larger replay jobs, judge models, and shareable reports.
OpenAI-compatible endpoint
export OPENAI_API_KEY=...
export OPENAI_BASE_URL=https://api.nextmodel.app/v1Where to start
Start with the public benchmark page, then move to API keys or billing only when you are ready to run larger hosted evaluations.
| Landing page | /benchmarks/cache-safety |
| API keys | /dashboard/api-keys |
| Billing | /dashboard/billing |