Ring-1T

Overview

Ant Group's MIT-licensed open reasoner: 1T total parameters with 50B active, using a novel ring-all-reduce MoE architecture. Top of the open-reasoning leaderboards.

When to pick this model

• Datacenter-scale reasoning workloads
• Research into novel MoE architectures
• Frontier benchmarking against closed reasoners
• Long-context reasoning up to 131k tokens

VRAM requirements by quantization

Quantization	VRAM required
Q4_K_M (recommended)	600 GB
Q5_K_M	720 GB
Q8_0	1080 GB
FP16 (no quantization)	2000 GB

VRAM figures include model weights plus a typical 8k KV cache and ~600 MB runtime overhead (Ollama / llama.cpp baseline). Add headroom for higher context lengths.

Strengths

• First trillion-parameter Chinese open-weight model
• MIT license with full commercial freedom
• Original ring-MoE all-reduce architecture
• 131k context window

Limitations

• Around 600 GB VRAM at Q4 — datacenter only
• Commercial licensing for downstream use is complex
• Operationally heavy to deploy and tune

Architecture & training

Architecture: MoE ring-all-reduce · 1T total · Ant Group · 131k context

Training: Ant Group — first Chinese trillion-parameter open-weight model, ring-MoE architecture.

Quick start

# Infrastructure data-center requise — non disponible en local standard

Or use the open-source MCP server to query this model from Claude Desktop, Cursor, or any MCP-compatible client.