Ring-2.6-1T
Ring-2.6-1T is an open-weights language model from Ant Group, released May 14, 2026. It has 1T parameters (mixture-of-experts, 77B active). The context window is 128K tokens.
Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong reasoning capabilities while remaining practical to train, serve, and deploy. In this report, we present Ling-2.6 and Ring-2.6, a family of models designed to address this challenge at scale.
Check it against your own PC →
Can you run Ring-2.6-1T locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Too large | – | – | – | – |
| 8 GB VRAM | Too large | – | – | – | – |
| 12 GB VRAM | Too large | – | – | – | – |
| 16 GB VRAM | Too large | – | – | – | – |
| 24 GB VRAM | Too large | – | – | – | – |
| 32 GB VRAM | Too large | – | – | – | – |
Benchmark results
Epoch AI has not published results for Ring-2.6-1T yet. New models are usually evaluated within days to weeks.
Links
Announcement · Hugging Face: inclusionAI/Ring-2.6-1T
More from Ant Group
Ling-2.6-flash · Ring-mini-linear-2.0 · Ring-flash-linear-2.0 · Ring-flash-2.0 · Ling-mini-base-2.0-20T · Ling-flash-base-2.0-20T · Agentar-Fin-R1 32B · Agentar-Fin-R1 8B