Index › Finance › Products › DAI · November 2026 Edition
Stablecoin platforms · Ranked

DAI

#25Best rank (mid-market)
8/14Models named it
0First choices
11Warnings
November 2026 Edition · all company sizes counted.
Ranked inStablecoin platforms #25 mid-market

Why models recommend it

“Third-largest stablecoin ($5.3B market cap), fully decentralized.”Mistral Small · Comparative question · first choice
“Fully decentralized and over-collateralized by crypto assets... Used widely in DeFi for lending”Grok 4.20 · Comparative question · alternative
“DeFi, collateralized lending | DAI (decentralized, over-collateralized)”GLM 4.7 FlashX · Comparative question · alternative
“Acceptable | DAI | Decentralized and over-collateralized. Highly resilient”Qwen 3.7 Flash · Negative question · alternative

What gives them pause

“These are crypto-collateralized rather than straightforward deposits of dollars... introduce risks absent from a simple fiat-backed token.”Perplexity Sonar · Negative question · warning
“it's more volatile than fiat ones and relies on smart contracts (hack risks)”Grok 4.20 · Negative question · warning

Also on the shortlist

The products named in the same answers as DAI, over the 19 answers that named it, and how often each was the first choice instead.

What the models named instead of DAI →

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 DAI 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 18 of the 19 answers that named DAI and are not a share of its labels.

By model

How each model answered on DAI across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00112
Grok 4.2001012
Mistral Small10001
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K202002
GLM 4.7 FlashX01001
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000