PancakeSwap vs Jupiter
Zero of fourteen models named PancakeSwap first on the direct prompt; zero named Jupiter. PancakeSwap was named by fourteen of the fourteen models and Jupiter by eight and PancakeSwap carries 31 labels and Jupiter 10, so the shares are not directly comparable.
Named in one category this edition.
Jupiter
accepted challengerNamed 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.
By framing
PancakeSwapFirst choices, of fourteen modelsJupiterAcross every category in the November 2026 Edition, PancakeSwap and Jupiter were named in the same answer twenty-three times, of the 78 answers naming PancakeSwap and the 28 naming Jupiter. In those answers Jupiter took the first choice two times and PancakeSwap one.
Every model, every framing
| Model | DirectJU | ParaphraseJU | ComparativeJU | Budget-constrainedJU | Scale-constrainedJU | NegativeJU |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | JU | |||||
| Perplexity Sonar | JU | |||||
| Grok 4.20 | | JU | | JU | ||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | | | ||
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | JU | | |||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | |||||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | JU | |||||
| Muse Glimmer 30B | JU | |
PancakeSwapJU Jupiter first choice named as an alternative argued againstblank: not namedEach cell is one answer, PancakeSwap on the left and Jupiter on the right.The direct prompt
Neither was named
14 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
PancakeSwap7%#2 of 8PancakeSwap8%#3 of 11PancakeSwap0%#9 of 9What the models said about PancakeSwap
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
What the models said about Jupiter
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Fast and cheap, but Solana's ecosystem is rife with meme coin scams and honeypots.” Grok 4.20 · negative prompt · soft negative
“Jupiter (Solana) | Cheapest execution; lowest slippage.” Qwen 3.7 Flash · budget prompt · first choice
“Jupiter rules Solana with ~$2B daily volume, especially for memecoin and aggregated swaps.” Muse Glimmer 30B · comparative prompt · alternative
“If your company uses Solana, it's an aggregator with near-zero fees and blazing speed” Grok 4.20 · budget prompt · alternative
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.