Index › Finance › Products › USDT · November 2026 Edition
Stablecoin platforms · Named, not ranked

USDT

–Too few to rank
10/14Models named it
0First choices
10Warnings
November 2026 Edition · all company sizes counted.
Ranked inStablecoin platforms #28 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. USDT has 8.

Why models recommend it

“For the safest options, look for stablecoins with strong regulatory compliance, regular audits... such as USDT (Tether), USDC (Circle)”Mistral Small · Negative question · first choice
“USDT is often the practical choice for trading liquidity”GPT-6 Luna · Comparative question · first choice
“Liquidity on major exchanges | USDT (widest acceptance)”GLM 4.7 FlashX · Comparative question · alternative
“Maximum trading liquidity | USDT”Kimi K2 · Comparative question · alternative

What gives them pause

“sources identify greater transparency and regulatory concerns than for USDC... avoid treating it as a universally equivalent substitute for bank cash”Perplexity Sonar · Negative question · warning
“compliant stablecoins – especially USDT (Tether), which continues to be traded among EU investors – may pose risks to financial stability in the EU”Muse Glimmer 30B · Negative question · warning

Also on the shortlist

The products named in the same answers as USDT, over the 17 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

How this is measured

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 →

Sources returned with these answers

The sites and pages the answers that named USDT came back with. A fact about retrieval, not a cause of the answer.

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 17 of the 17 answers that named USDT and are not a share of its labels.

By model

How each model answered on USDT across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash00101
Perplexity Sonar00011
Grok 4.2000000
Mistral Small10001
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX01001
MiniMax M2.500000
GPT-6 Luna10001
Muse Glimmer 30B00011