FAQ

Questions fréquentes sur ChinaAPI

Consultez les bases sur l'accès aux modèles, les tarifs et l'utilisation de l'API.

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Le contenu complet en direct — dates, classements et sources externes — est affiché ci-dessous dans sa langue source, l’anglais. Les éléments non traduits conservent le libellé d’origine afin de privilégier l’exactitude des mises à jour.

Which Chinese AI models can ChinaAPI help evaluate?

Coverage can include GLM, Qwen, DeepSeek, Kimi, and MiniMax for LLM workloads, Qwen Image and Wan for image generation, and Seedance, Hailuo, and Kling for video generation, depending on availability, use case, and qualified usage volume.

Is ChinaAPI only for developers?

No. The first buyer is often a business owner, agency lead, product leader, marketing team, AI application company, or system integrator that needs lower-cost model access or creative production capacity.

How do Standard, Paid, and Enterprise pricing work?

Every account can call every model. Accounts start on Standard pricing after sign-up. One top-up of any amount moves the whole account to Paid pricing: models with a Paid price bill at it, and the rest stay at Standard. For larger volumes, contact ChinaAPI about Enterprise pricing.

Are ChinaAPI prices published?

Yes. Every model page and the dashboard model catalog list the Standard price in USD, and the Paid price where a model has one. Standard model rates follow providers' international list prices at 100%; some models have a separate Paid rate after the first top-up.

Can companies test before committing?

Yes. Pilot access is designed for small-scope evaluation before expanding into volume-based pricing.

Are online card payments available?

Yes. Add credits by bank card in Dashboard Wallet where offered. Cryptocurrency and local wallet methods may also appear for your account. Redemption codes remain an option for offline purchases. The dashboard shows current methods and amounts at checkout.

Do we need a company or presence in China?

No. ChinaAPI provisions access for international teams. Integration happens over standard APIs from your existing infrastructure, with no local entity required.

Can Chinese models really reduce OpenAI or Claude API costs?

Often, for the right workloads. The savings come from routing suitable tasks to lower-cost model families rather than replacing every call at once, so each workload should be evaluated on its own.

Can we evaluate several models through one integration?

Yes. Pilots can be structured to compare model families side by side on the same workload, and the integration path is OpenAI-compatible, so switching models does not require rebuilding your stack.

What workloads are the best starting points?

For LLMs: RAG, customer support automation, SaaS inference, and internal tools. For creative teams: product videos, ad variants, social content concepts, and high-volume image or video iteration.

What information should we send first?

Company, country, current model stack, monthly AI spend, expected volume, target use case, preferred model families, and whether email, WhatsApp, or Telegram is best for follow-up.