Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token and a native 256K-token context window. It was trained entirely on Ascend NPUs with the MindSpore framework and is tuned for complex engineering and agent work: tool calling, multi-step planning, and long-context execution. Reasoning is on by default and can be turned off.
Free
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token and a native 256K-token context window.
Xing4.0 29B A4B is free on NagaAI: a free account calls it without topping up, up to 10 requests a minute and 100 a day across all free models.
Xing4.0 29B A4B reads up to 262.1k tokens in one request, counting the prompt and the answer together.
Yes. Xing4.0 29B A4B can call your functions as tools and can answer in a JSON schema you give it.
It takes text as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.
