Ling-2.6-1T
Ling-2.6-1T is Ant Group’s general flagship for coding, long-document tasks, and multi-step agents. A hybrid MLA/linear-attention trillion-parameter MoE model targets efficient inference and concise fast thinking. Process-redundancy suppression during post-training lowers unnecessary output tokens, while agentic training improves tool calling, coding, and instruction execution. The April 29 official changelog establishes API and chat availability before the April 30 open-weight announcement. Public MIT weights support self-hosting; the model card demonstrates 256K deployment, while hosted services can expose different limits.
2026-04-29
1T
Hybrid MLA/linear-attention Mixture of Experts
MIT
Specifications
- Parameters
- 1T
- Architecture
- Hybrid MLA/linear-attention Mixture of Experts
- License
- MIT
- Context Window
- 262,144 tokens
- Type
- text
- Modalities
- text
Benchmark Scores
Advanced Specifications
- Model Family
- Ling
- 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