Ring-2.6-1T
ring-2.6-1t
Last refreshed 2026-05-18. Next refresh: weekly.
Ring-2.6-1T is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.
Decision context: RAG task fit, 1 tracked provider route, and research from 2026-05-18.
Use it for
- Teams evaluating rag, agents, and long context
- Workloads that can use a 262K context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
Cheapest output
$0.625
OpenRouter per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-05-18
Researched today
Top use-case fit
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Cache | Route |
|---|---|---|---|---|
| OpenRouter | $0.075 | $0.625 | read $0.015 | Serverless |
Benchmark peer barsfor RAG
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
Ring-2.6-1T is InclusionAI's MIT-licensed trillion-parameter MoE reasoning model for agent workflows, engineering tasks, scientific analysis, and enterprise automation. It supports high and xhigh reasoning effort modes and entered OpenRouter's Programming top 10 in the 2026-05-18 audit.
Ring-2.6-1T has a 256K-token context window.
Ring-2.6-1T input tokens at $0.075/1M, output at $0.625/1M.
Capabilities
Rankings
Specifications
Created by
InclusionAI is Ant Group's artificial general intelligence research lab, responsible for developing