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Lao Guo's Learning Space
Lao Guo's Learning Space
May 13, 2026 · Artificial Intelligence

Can Trillion-Parameter Models Skip ‘Slow Thinking’? Ant’s Ling‑2.6‑1T Redefines Efficient LLMs

Ant’s newly released Ling‑2.6‑1T, a trillion‑parameter LLM, combines a hybrid MLA‑plus‑Linear Attention architecture to deliver 256K context, ultra‑low token cost and millisecond‑level latency, achieving GPT‑5.4‑level performance on multiple benchmarks while being open‑sourced for developers.

Ant AIFast ThinkingHybrid Architecture
0 likes · 10 min read
Can Trillion-Parameter Models Skip ‘Slow Thinking’? Ant’s Ling‑2.6‑1T Redefines Efficient LLMs
Old Zhang's AI Learning
Old Zhang's AI Learning
May 11, 2026 · Artificial Intelligence

Ling-2.6-1T: 1T‑Parameter, Fast‑Thinking, Agent‑Ready Model After DeepSeek‑V4

Ant Group's Ling‑2.6‑1T, a 1‑trillion‑parameter LLM built for token efficiency and fast‑thinking, outperforms on elite reasoning and agentic benchmarks, offers easy local deployment via vLLM or SGLang, provides a quantized 3.6‑bit version, and includes practical usage tips for developers and knowledge workers.

Agentic ModelClaude Code IntegrationLing-2.6-1T
0 likes · 12 min read
Ling-2.6-1T: 1T‑Parameter, Fast‑Thinking, Agent‑Ready Model After DeepSeek‑V4