Ling-1T
Ling-1T is an open-weights language model from inclusionAI, released October 1, 2025. It has 1000B parameters (mixture-of-experts, 51B active). The context window is 125K tokens. API price: $0.57 input / $2.29 output per million tokens.
Ling-1T is the first flagship non-thinking model in the Ling 2.0 series, featuring 1 trillion total parameters with ≈ 50 billion active parameters per token. Built on the Ling 2.0 architecture, Ling-1T is designed to push the limits of efficient reasoning and scalable cognition.
Check it against your own PC →
Can you run Ling-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 | – | – | – | – |
Ready-made quantizations on Hugging Face: unsloth/Ling-1T-GGUF · DevQuasar/inclusionAI.Ling-1T-GGUF · bartowski/inclusionAI_Ling-1T-GGUF · ubergarm/Ling-1T-GGUF · honda6666/Ling-1T-GGUF · mradermacher/Ling-1T-i1-GGUF
Benchmark results
Epoch AI has not published results for Ling-1T yet. New models are usually evaluated within days to weeks.
Links
Announcement · Hugging Face: inclusionAI/Ling-1T
More from inclusionAI
Ling 3.1 flash 1019 · LBS 27B · Ling 3.0 flash Sante · Ling 3.0 tiny · Ring-1T