inclusionAI: Ring-1T

Ring-1T is a trillion-parameter sparse mixture-of-experts (MoE) thinking model developed by inclusionAI. It adopts the Ling 2.0 architecture and is trained on the Ling-1T-base foundation model, which contains 1 trillion total parameters with 50 billion activated parameters, supporting a context window of up to 128K tokens. Building upon the preview version released at the end of September, Ring-1T has undergone continued scaling with large-scale verifiable reward reinforcement learning (RLVR) training, further unlocking the natural language reasoning capabilities of the trillion-parameter foundation model.

Available at 4 Providers

	Provider	Model Name	Original Model	Input ($/1M)	Output ($/1M)	Free
	AIHubMix	Ring-1T	inclusionAI/Ring-1T	$0.55	$2.19
	ZenMUX	inclusionAI: Ring-1T	inclusionai/ring-1t	$0.56	$2.24		Visit
	Bailing	Ring-1T	Ring-1T	$0.57	$2.29		Visit
	LangDB	ring-1t	ring-1t	-	-