“The largest and most liquid stablecoin... Choose USDT if you need maximum liquidity for trading on centralized exchanges.”Qwen 3.7 Flash · Comparative question · first choice
“USDT (Tether) remains the global standard for exchange order books and cross-border settlement.”Gemini 3.5 Flash · Comparative question · first choice
“The largest stablecoin by market cap ($179.89B), holding over 70% of the total stablecoin market.”Mistral Small · Comparative question · first choice
“USDT and USDC remain the clear leaders... The largest and most liquid stablecoin”Grok 4.20 · Comparative question · first choice
“has faced longstanding controversy over the transparency of its reserves. It's widely used but carries higher counterparty risk perception.”MiniMax M2.5 · Negative question · warning
“has a history of transparency issues, fines for misleading claims about reserves, and past depegs... Be cautious if using large amounts”Grok 4.20 · Negative question · warning
“Use with Caution | USDT | High liquidity, massive adoption. But lacks full transparency and has a controversial legal history.”Qwen 3.7 Flash · Negative question · warning
“BE CAUTIOUS: Stablecoins with Transparency & Regulatory Issues ... it carries notable risks”Kimi K2 · Negative question · warning
The products named in the same answers as Tether, over the 37 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 17 | 9 | View → | |
| 14 | 10 | View → | |
| 12 | 1 | View → | |
| 12 | 0 | View → | |
| 12 | 0 | View → | |
| 9 | 0 | View → | |
| 8 | 1 | View → | |
| 7 | 0 | View → | |
| 6 | 2 | View → | |
| 6 | 1 | View → |
What the models named instead of Tether →
A side-by-side page exists where both products are among a category's top eight.
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 31 of the 37 answers that named Tether and are not a share of its labels.
Sixty-eight of the sixty-eight domain citations in answers naming Tether came from a third party's page.
Pages are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 1 | 0 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 1 | 0 | 0 | 1 | 2 |
| Mistral Small | 1 | 0 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 1 | 0 | 0 | 1 | 2 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 1 | 1 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |