Fourteen of fourteen models named Google Tag Manager first on the direct prompt; zero named Tealium iQ Tag Management. Both were named by all fourteen models and Google Tag Manager carries 79 labels and Tealium iQ Tag Management 66, so the shares are not directly comparable.
By Google, Mountain View, California, United States, founded 1998. Named in two categories this edition.
By Tealium, San Diego, United States, founded 2008. 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 tag management page.
Across every category in the November 2026 Edition, Google Tag Manager and Tealium iQ Tag Management were named in the same answer 191 times, of the 230 answers naming Google Tag Manager and the 201 naming Tealium iQ Tag Management. In those answers Tealium iQ Tag Management took the first choice fifty-two times and Google Tag Manager 108.
| 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.
“experts recommend avoiding its paid enterprise suite (GTM 360) unless you have a clear, justified need” Mistral Small · negative prompt · hard negative
“GTM 360 (Avoid Unless Necessary)” Qwen 3.7 Flash · negative prompt · hard negative
“Free, strong Google integration, good for teams already in the Google ecosystem. Limited advanced governance and server‑side (requires GTM 360).” GLM 4.7 FlashX · scale prompt · soft negative
“Google Tag Manager (GTM), especially with its server-side (sGTM) capabilities, is the best overall tag management system for most mid-market B2B companies.” Grok 4.20 · direct prompt · first choice
“Google Tag Manager is the dominant TMS globally due to its free tier, intuitive interface, and seamless integration with the Google Marketing Platform” Gemini 3.5 Flash · comparative prompt · first choice
“The market leader, used by over 99% of sites with a TMS. It's free, easy to use, and integrates seamlessly with Google's ecosystem.” Mistral Small · 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.
“frequently cited as one to avoid for mid-market companies due to its high cost, complexity” Mistral Small · negative prompt · hard negative
“High subscription costs (often tens of thousands of dollars annually) and steep learning curve—usually overkill for typical mid-market B2B setups.” Gemini 3.5 Flash · paraphrase prompt · soft negative
“Tealium iQ Tag Management and ObservePoint may be systems to be cautious about due to their complexity and potential costs” Llama 4 Maverick · negative prompt · soft negative
“The sweet spot is likely a mid-to-enterprise tier platform like Tealium iQ or Adobe Launch” DeepSeek V4 Flash · scale prompt · first choice
“Tealium — Strong in governance, privacy, and enterprise features.” Grok 4.20 · scale prompt · first choice
“Enterprise‑grade governance, robust multi‑environment and data layer, strong server‑side options, but higher cost and longer implementation.” GLM 4.7 FlashX · scale 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.