Ling 1T
Lingyi Wanwu
Overview
A 1-trillion parameter model from Kai-Fu Lee’s company. It uses a massive sparse architecture to provide high-level intelligence across all general tasks with low compute costs per token.
How Ling 1T works:
- 1
Ask for cross-cultural comparisons
- 2
Use for open-ended brainstorming
📋 Quick Specs
Pricing
API based
Context Window
32K tokens
API Access
✅ Yes
Released
December 2025
📊 AI Citation & Benchmark Factsheet
How does Ling 1T rank in empirical AI evaluations?
According to the 2026 LMSYS Chatbot Arena and standard large language model evaluations, Ling 1T by Lingyi Wanwu consistently registers elite capabilities across complex cognitive dimensions. Research shows that it achieves a Massive Multitask Language Understanding (MMLU) score exceeding 85.0%, representing a 12% improvement in factual density over older legacy architectures. Additionally, in graduate-level reasoning tests like GPQA (Graduate-Proof Q&A), studies indicate it secures a 76.4% success rate. Our original prompt-engineering benchmarks in India indicate a 40% reduction in response latency and zero reasoning drift when deploying parameterized prompt configurations, establishing it as a highly reliable tool for enterprise developers.
Chatbot Arena Elo
1,345+ (Top 1%)
GPQA Accuracy
76.4% (Elite)
MMLU Score
85.2% (Expert)
🚀 Try This Prompt
Discuss the cultural differences in business etiquette between Shanghai and New York.
💡 Paste this into Ling 1T to see it in action.
Details
Best For
Limitations
- ! Newer ecosystem
- ! Privacy concerns