inclusionAI: Ring-1T下线

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.

由:inclusionAI输入类型:输出类型:发布时间:2025-10-12

供应商

在多个供应商之间路由请求。复制供应商标识以设置偏好供应商。

供应商缓存命中率上下文

Tbox下线

theta

77.9%$0.56/ 百万 token$2.24/ 百万 token读取：0.112/ 百万 token写入：-/ 百万 token128K1.17s48.4tps

可用率

24 小时

AI Gateway 直连请求及各供应商的成功率。

Jun 15, 18:29

Tbox100.00%

吞吐量

24 小时

AI Gateway 实时流量的 P50 吞吐量，单位为每秒 token 数（TPS）。

Jun 15, 18:00

Tbox48.4 tps

延迟

24 小时

AI Gateway 实时流量的 P50 首 token 延迟（TTFT），单位为毫秒。

Jun 15, 18:00

Tbox1.17s

活动

该模型随时间变化的 token 用量和请求流量。

Token 消耗

Jun 15

Tbox14.4K

按实际处理请求的供应商拆分 token 用量。区块越大，表示该供应商处理的模型流量越多。

基准测试

标准化评测得分。百分比越高越好，并展示排名百分位。

指标来源：Artificial Analysis

Intelligence Index10.9

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All

Token 排行

No app usage is available for this period.

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