Ring-2.6-1T
Ring-2.6-1T is Ant Group’s thinking flagship for demanding reasoning and sustained agent workflows. The trillion-parameter hybrid-attention MoE model supports adjustable high and xhigh reasoning effort, allowing developers to select between routine multi-turn agents and more expensive mathematical or scientific reasoning. Asynchronous reinforcement learning and IcePop improve training stability and long-horizon execution. The official May 9 launch precedes the May 15 weight/API announcement. MIT weights are public; native 128K context extends to 256K with YaRN, and tool execution requires an external agent environment.
2026-05-09
1T
Hybrid MLA/linear-attention Mixture of Experts
MIT
Specifications
- Parameters
- 1T
- Architecture
- Hybrid MLA/linear-attention Mixture of Experts
- License
- MIT
- Context Window
- 131,072 tokens
- Type
- text
- Modalities
- text
Benchmark Scores
Advanced Specifications
- Model Family
- Ring
- API Access
- Available
- Chat Interface
- Available
Capabilities & Limitations
- Capabilities
- reasoningcodingtool useinstruction following
- Known Limitations
- Inactive experts still require substantial weight storage.Tool use requires an external execution environment and appropriate chat template.
- Notable Use Cases
- coding agentsenterprise assistantslong-document analysis
- Function Calling Support
- Yes
- Tool Use Support
- Yes