Pacvue vs Instacart Ads
One of fourteen models named Pacvue first on the direct prompt; zero named Instacart Ads. Pacvue was named by eleven of the fourteen models and Instacart Ads by fourteen and Pacvue carries 17 labels and Instacart Ads 29, 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 retail media platforms page.
By framing
PacvueFirst choices, of fourteen modelsInstacart Ads
Across every category in the October 2026 Edition, Pacvue and Instacart Ads were named in the same answer ten times, of the 48 answers naming Pacvue and the 73 naming Instacart Ads. In those answers Instacart Ads took the first choice zero times and Pacvue zero.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | | |||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | |||||
| Grok 4.1 Fast | | |||||
| 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 | | | | |
Pacvue Instacart Ads first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pacvue on the left and Instacart Ads on the right.The direct prompt
Pacvue first, Instacart Ads not the choice
1 of 14 modelsInstacart Ads was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 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
Pacvue0%#8 of 10Instacart Ads0%#6 of 10What the models said about Pacvue
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“start with a management layer like Pacvue or Quartile for governance, cross-retailer reporting and approval workflows” Muse Glimmer 30B · paraphrase prompt · first choice
“If you are buying ads: Go with Pacvue. It is the most robust tool” Gemini 3.5 Flash · direct prompt · first choice
“Pacvue or Moloco would be strong choices” MiniMax M2.5 · paraphrase prompt · first choice
What the models said about Instacart Ads
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“such as Swiftly and Instacart Ads, have limited third-party review coverage, making it harder to validate their performance and reliability” Mistral Small · negative prompt · soft negative
“API rate limits can bottleneck high-volume advertisers, the schema has quarterly breaking changes requiring connector maintenance” Claude Haiku 4.5 · negative prompt · soft negative
“Instacart Ads if you are not a grocery/CPG brand, need scale beyond its audience” Perplexity Sonar · negative prompt · soft negative
“Amazon Advertising or Instacart Ads (if in grocery/FMCG) offer the best combination of low barriers to entry” Kimi K2 · budget prompt · first choice
“If you are a CPG brand trying to win the digital or physical grocery cart, prioritize Instacart and Kroger.” Gemini 3.5 Flash · comparative prompt · alternative
“If you sell grocery products and your customers shop through Instacart, its ads may be a better fit” GPT-6 Luna · 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.