Tokvi positions itself as a single access point for AI models from China and around the world. Rather than committing to one vendor, developers route requests through one API gateway and manage credentials, model choices and spending in a unified console.
The platform covers text reasoning, multimodal and image tasks, plus video generation, with MiniMax-H3 featured in a dedicated playground. Endpoints are OpenAI-compatible, so existing integrations can often be repointed with minimal code changes, and each model’s endpoints, parameters and access requirements are documented in the catalog.
It is aimed at developers and product teams building AI features who want to compare or combine model families such as GPT, Claude, DeepSeek, Qwen and Kimi without maintaining separate accounts and billing relationships with each provider.
Billing runs on a USD account balance charged by model and usage, so it is worth checking catalog pricing per model before scaling a workload, and testing in the playground first. Overall, Tokvi is a practical consolidation layer for teams that expect to switch models often.
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