High-volume text tasks
Summaries, classification, extraction, rewriting, and internal operations often produce measurable routing opportunities.
OpenAI API cost reduction
Reduce OpenAI API spend with qualified model routing.
ChinaAPI helps companies evaluate where Chinese model families can reduce AI API cost without forcing a full-stack migration.
Best-fit use cases
Workloads that can be evaluated for cost reduction.
RAG and support
Compare answer quality, retries, latency, and cost per resolved customer or knowledge request.
SaaS features
Test lower-cost model routes for specific product features with clear acceptance criteria.
Fallback routing
Diversify beyond one model provider while preserving quality for selected tasks.
Do not compare token price alone
Real cost reduction depends on success rate, retries, output length, latency, engineering overhead, and whether the model performs well on your actual task.
Model coverage
Chinese AI model families your team can evaluate.
Can Chinese models replace OpenAI completely?
Sometimes, but the safer path is to route specific workloads after task-level evaluation.
Which models should be evaluated?
Candidates can include GLM, Qwen, DeepSeek, Kimi, MiniMax, and other Chinese model families depending on the use case.
What savings should we expect?
Savings depend on usage volume, prompt design, model fit, and commercial terms. A pilot should measure cost per successful task.
What data should we provide?
Current provider, monthly spend, request volume, use case, latency requirements, and example task categories.
Request pilot pricing
Send the workload and expected usage.
Priority goes to teams with existing AI spend, expected monthly usage, or a concrete production or creative workflow.