# 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.

## Model Information

- **Organization**: [InclusionAI](/llm.txt)
- **Slug**: ring-1t
- **Available at Providers**: 4

## Providers

| Provider | Name | $ Input (per 1M) | $ Output (per 1M) | Free | Link |
|----------|------|-----------------|------------------|------|------|
| [AIHubMix](/llm/aihubmix.txt) | Ring-1T | 0.55 | 2.19 |  | [View](https://aihubmix.com/model/inclusionAI/Ring-1T) |
| [Bailing](/llm/bailing.txt) | Ring-1T | 0.57 | 2.29 |  |  |
| [ZenMUX](/llm/zenmux.txt) | inclusionAI: Ring-1T | 0.56 | 2.24 |  |  |
| [Arena AI](/llm/arenaai.txt) |  |  |  |  |  |

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