# Reduce OpenAI API spend with qualified model routing. > Evaluate lower-cost Chinese AI model alternatives for selected OpenAI API workloads, including RAG, support automation, SaaS inference, and internal tools. - Canonical page: https://chinaapi.ai/alternatives/openai-api-cost-reduction/ - Human-readable page: https://chinaapi.ai/alternatives/openai-api-cost-reduction/ - Live pricing: https://dash.chinaapi.ai/pricing?lang=en&utm_source=chinaapi&utm_medium=markdown&utm_campaign=openai-api-cost-reduction ChinaAPI helps companies evaluate where Chinese model families can reduce AI API cost without forcing a full-stack migration. [Talk to solutions](https://chinaapi.ai/request-access/) [Email us directly](mailto:solution@chinaapi.ai?subject=Pilot%20pricing%20request%20-%20OpenAI%20cost%20reduction%20pilot&body=Hi%20ChinaAPI%2C%0A%0AI%27d%20like%20to%20discuss%20OpenAI%20cost%20reduction%20pilot.%0A%0ACompany%3A%0ACountry%3A%0AUse%20case%3A%0AModels%20of%20interest%3A%0ACurrent%20provider%20or%20tools%3A%0AExpected%20monthly%20usage%3A%0A%0AThanks%2C) ## Workloads that can be evaluated for cost reduction. ### High-volume text tasks Summaries, classification, extraction, rewriting, and internal operations often produce measurable routing opportunities. ### 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. ## Chinese AI model families your team can evaluate. GLM-5.2 Qwen DeepSeek Kimi MiniMax Qwen Image Wan Seedance Hailuo Kling ## 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. ## Send the workload and expected usage. Priority goes to teams with existing AI spend, expected monthly usage, or a concrete production or creative workflow. [solution@chinaapi.ai](mailto:solution@chinaapi.ai?subject=Pilot%20pricing%20request%20-%20OpenAI%20cost%20reduction%20pilot&body=Hi%20ChinaAPI%2C%0A%0AI%27d%20like%20to%20discuss%20OpenAI%20cost%20reduction%20pilot.%0A%0ACompany%3A%0ACountry%3A%0AUse%20case%3A%0AModels%20of%20interest%3A%0ACurrent%20provider%20or%20tools%3A%0AExpected%20monthly%20usage%3A%0A%0AThanks%2C) [WhatsApp](https://wa.me/qr/F6P7VJTMRXQTM1) [Telegram](https://t.me/chinaapiai) --- Markdown twin of https://chinaapi.ai/alternatives/openai-api-cost-reduction/ — generated from its canonical HTML by scripts/gen_markdown_twins.py. Full site reference: https://chinaapi.ai/llms-full.txt