Zero of fourteen models named PancakeSwap first on the direct prompt; zero named Uniswap. Both were named by all fourteen models and PancakeSwap carries 31 labels and Uniswap 30, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the digital employee experience page.
Across every category in the November 2026 Edition, PancakeSwap and Uniswap were named in the same answer sixty-seven times, of the 78 answers naming PancakeSwap and the 84 naming Uniswap. In those answers Uniswap took the first choice twenty-seven times and PancakeSwap two.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“PancakeSwap - 100% of labels are negative, with 5 out of 5 labels being negative” Llama 4 Maverick · negative prompt · hard negative
“More than 58% of rug pulls in 2024 happened on decentralized exchanges (DEXs) like Uniswap and PancakeSwap.” Muse Glimmer 30B · negative prompt · soft negative
“you are vulnerable to sandwich attacks... like older versions of PancakeSwap or SushiSwap” Qwen 3.7 Flash · negative prompt · soft negative
“PancakeSwap (Binance Smart Chain) or Quickswap (Polygon) are often recommended due to their combination of low trading fees AND significantly lower network transaction costs” MiniMax M2.5 · budget prompt · first choice
“PancakeSwap is often recommended for startups and budget-conscious users.” Claude Haiku 4.5 · budget prompt · first choice
“ranks Uniswap, PancakeSwap, and Aero highest over the preceding 30 days” GPT-6 Luna · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“using a raw DEX (like Uniswap) for corporate treasury is risky due to liquidity issues, volatility, and lack of regulatory protection” Qwen 3.7 Flash · direct prompt · hard negative
“More than 58% of rug pulls in 2024 happened on decentralized exchanges (DEXs) like Uniswap and PancakeSwap.” Muse Glimmer 30B · negative prompt · soft negative
“Not the absolute cheapest on mainnet (0.25–0.3% + high gas)... avoid for tiny budgets on Ethereum L1” Grok 4.20 · budget prompt · soft negative
“The best DEX platform for a company with a limited budget is Uniswap on Base or Arbitrum, as it has low fees, sufficient liquidity for major pairs” Llama 4 Maverick · budget prompt · first choice
“Uniswap, Curve, and dYdX have proven resilient over multiple years, making them generally more trustworthy choices.” Claude Haiku 4.5 · negative prompt · first choice
“The dominant leader in total trading volume and TVL... choose Uniswap for maximum liquidity and asset variety” Qwen 3.7 Flash · comparative prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.