Web analytics · November 2026 Edition
Mixpanel vs Umami
One of fourteen models named Mixpanel first on the direct prompt; zero named Umami. Mixpanel was named by fourteen of the fourteen models and Umami by eleven and Mixpanel carries 39 labels and Umami 12, so the shares are not directly comparable.
San Francisco, United States, founded 2009. Named in ten categories this edition.
Named in three categories this edition.
First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 15; printed, not drawn.
Labels3912A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Mixpanel reading right to left. Rank and label count are printed, not drawn.Google Analytics 4 was named alongside these two in nine of the fourteen direct answers. Google Analytics 4 vs Mixpanel · Google Analytics 4 vs Umami · HubSpot Marketing Hub vs Mixpanel
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 web analytics page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
MixpanelFirst choices, of fourteen modelsUmami
Direct10
Paraphrase00
Comparative00
Budget-constrained01
Scale-constrained10
Negative001 against Mixpanel · 1 against Umami
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Mixpanel and Umami stood in it.
| 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 | | |
Mixpanel Umami first choice named as an alternative argued againstblank: not namedEach cell is one answer, Mixpanel on the left and Umami on the right.The direct prompt
The plain question, one answer per model, grouped by where Mixpanel and Umami stood in it.
Mixpanel first, Umami not the choice
1 of 14 modelsUmami was named in the answer but not as the choice, or not at all.Grok 4.20Mixpanel alternatives: Fathom, Matomo, Plausible Analytics, PostHog
Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Google Analytics 4 alternatives: Adobe Analytics, Amplitude, HubSpot Marketing Hub, Mixpanel
GPT-5.4 miniGoogle Analytics 4 alternatives: Amplitude, Matomo, Mixpanel
Perplexity SonarGoogle Analytics 4 alternatives: Amplitude, HockeyStack, Looker Studio, Matomo, Microsoft Clarity, Mixpanel, Plausible Analytics
Mistral SmallClics alternatives: Amplitude, Google Analytics 4 (GA4) with BigQuery, Heap, Matomo, Mixpanel, Piwik PRO Analytics Suite, PostHog
Qwen 3.7 FlashDreamdata alternatives: HockeyStack, HubSpot Marketing Hub, Mixpanel
GLM 4.7 FlashXGoogle Analytics 4 alternatives: Adobe Analytics, Amplitude, Google Tag Manager, Heap, Microsoft Clarity, Mixpanel
Muse Glimmer 30BGoogle Analytics 4 alternatives: Amplitude, Dreamdata, HubSpot Marketing Hub, Matomo, Mixpanel, Piwik PRO Analytics Suite
Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.Gemini 3.5 FlashDreamdata, HockeyStack alternatives: HubSpot Marketing Hub, PostHog
DeepSeek V4 FlashHockeyStack alternatives: Dreamdata, Google Analytics 4, Matomo
Llama 4 MaverickClics
Kimi K2Dreamdata alternatives: Google Analytics 4, HockeyStack
MiniMax M2.5BigQuery, Google Analytics 4 alternatives: Dreamdata, HockeyStack
GPT-6 LunaGoogle Analytics 4 alternatives: Dreamdata, HockeyStack, Matomo, Plausible Analytics
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Mid-marketThe figures above
The order flips: Mixpanel leads at mid-market.
Mixpanel4%#3 of 15Umami2%#8 of 15Enterprise
What the models said about Mixpanel
No label in this category carried a quote.
What the models said about Umami
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Self-hosted platforms like Umami or Open Web Analytics come with added responsibilities, such as server maintenance” Claude Haiku 4.5 · negative prompt · soft negative
“the best choice is usually Umami or Plausible” GPT-5.4 mini · budget prompt · first choice
“If you want clean data without the complexity of GA4 or the privacy risks, Umami is a strong contender.” Qwen 3.7 Flash · budget prompt · alternative
“start by evaluating Matomo self-hosted, Plausible, Fathom, Umami, or Cloudflare Web Analytics” Perplexity Sonar · negative prompt · alternative
Also compared
Google Analytics 4 vs MixpanelGoogle Analytics 4 vs UmamiHubSpot Marketing Hub vs MixpanelHubSpot Marketing Hub vs UmamiMixpanel vs Microsoft ClarityMixpanel vs Plausible AnalyticsMixpanel vs AmplitudeMixpanel vs PostHogMicrosoft Clarity vs UmamiPlausible Analytics vs UmamiAmplitude vs UmamiPostHog vs UmamiAll twenty-eight head-to-head pages and the full web analytics standing
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.