Google Meridian vs HockeyStack
Zero of fourteen models named Google Meridian first on the direct prompt; three named HockeyStack. Google Meridian was named by thirteen of the fourteen models and HockeyStack by fourteen and Google Meridian carries 34 labels and HockeyStack 29, so the shares are not directly comparable.
By Google, Mountain View, California, United States, founded 1998. Named in one category this edition.
Named in five categories 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 modelsHockeyStack
Across every category in the October 2026 Edition, Google Meridian and HockeyStack were named in the same answer twenty-six times, of the 89 answers naming Google Meridian and the 98 naming HockeyStack. In those answers HockeyStack took the first choice two times and Google Meridian 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 | | | |
Google Meridian HockeyStack first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google Meridian on the left and HockeyStack on the right.The direct prompt
HockeyStack first, Google Meridian not the choice
3 of 14 modelsGoogle Meridian was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 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 17HockeyStack3%#11 of 17Google Meridian5%#4 of 17HockeyStack5%#5 of 17HockeyStack5%#8 of 17Google Meridian2%#15 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 HockeyStack
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“exited the attribution market in April 2026 ... so it's no longer recommended for attribution-only needs.” Kimi K2 · direct prompt · hard negative
“Pivoting away from pure attribution; now positioned as a broader GTM AI platform (~$2,200+/month)” DeepSeek V4 Flash · paraphrase prompt · soft negative
“HockeyStack connects marketing activity directly to pipeline and revenue, making it well-suited for B2B SaaS teams with long sales cycles.” Claude Haiku 4.5 · direct prompt · first choice
“HockeyStack offers better value and faster implementation for mid-market companies.” MiniMax M2.5 · direct prompt · first choice
“I'd start with HockeyStack—but only if its Enterprise pricing works for you” GPT-6 Luna · direct 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.