Google Meridian vs Recast
Zero of fourteen models named Google Meridian first on the direct prompt; zero named Recast. Google Meridian was named by thirteen of the fourteen models and Recast by nine and Google Meridian carries 34 labels and Recast 15, so the shares are not directly comparable.
By Google, Mountain View, California, United States, founded 1998. 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 attribution and marketing mix modeling page.
By framing
Google MeridianFirst choices, of fourteen modelsRecast
Across every category in the October 2026 Edition, Google Meridian and Recast were named in the same answer twenty-eight times, of the 89 answers naming Google Meridian and the 47 naming Recast. In those answers Recast took the first choice two times and Google Meridian two.
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 | | |
Google Meridian Recast first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google Meridian on the left and Recast on the right.The direct prompt
Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
13 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
Google Meridian3%#8 of 17Recast0%#13 of 17Google Meridian5%#4 of 17Recast3%#7 of 17Google Meridian2%#15 of 17Recast2%#11 of 17What the models said about Google Meridian
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Free, open-source libraries like Google Meridian or Meta Robyn require dedicated data scientists... a SaaS platform with a managed service component is almost always the right choice” Gemini 3.5 Flash · scale prompt · soft negative
“Mid-market companies rarely have full-time data scientists to manage open-source MMM code (like Google Meridian or Meta Robyn)” Gemini 3.5 Flash · direct prompt · soft negative
“Google Meridian if you lack data or modeling support. Meridian is open source, not a turnkey measurement service.” GPT-6 Luna · negative prompt · soft negative
“open-source MMM tools like Meta's Robyn or Google's Meridian are increasingly attractive due to their transparency and cost-effectiveness” Mistral Small · negative prompt · first choice
“Open-source Bayesian MMM, native Google Ads integration... Successor to LightweightMMM; free, transparent code” GLM 4.7 FlashX · comparative prompt · first choice
“Google's Meridian is a Bayesian MMM framework released openly for anyone to use—no licensing fees.” Grok 4.1 Fast · budget prompt · first choice
What the models said about Recast
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Enterprise-grade, managed MMM and multi-touch attribution (MTA) platforms (like Recast, Measured, or Rockerbox) routinely cost upwards of $50,000 to $150,000+ per year.” Gemini 3.5 Flash · budget prompt · soft negative
“Recast has limitations if you need custom transformations—like modeling promo mechanics with different lag structures per SKU.” Claude Haiku 4.5 · negative prompt · soft negative
“Recast | Self-serve Bayesian MMM, fast refresh, no data science team needed | Companies wanting modern MMM without heavy lift” Kimi K2 · scale prompt · first choice
“If you have 1-2 analysts with intermediate statistics experience, look closely at Recast or Haus.” Gemini 3.5 Flash · scale prompt · first choice
“Add MMM with: Recast ... offers the best balance of modern methodology and mid-market accessibility” Kimi K2 · paraphrase 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.