Mixpanel vs Heap
Three of fourteen models named Mixpanel first on the direct prompt; one named Heap. Both were named by all fourteen models and Mixpanel carries 70 labels and Heap 51, so the shares are not directly comparable.
San Francisco, United States, founded 2009. Named in nine categories this edition.
By Contentsquare, Paris, France, founded 2008. 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 product analytics page.
By framing
MixpanelFirst choices, of fourteen modelsHeap
Across every category in the October 2026 Edition, Mixpanel and Heap were named in the same answer 206 times, of the 519 answers naming Mixpanel and the 225 naming Heap. In those answers Heap took the first choice zero times and Mixpanel forty-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 | | | | |
Mixpanel Heap first choice named as an alternative argued againstblank: not namedEach cell is one answer, Mixpanel on the left and Heap on the right.The direct prompt
Mixpanel first, Heap an alternative
3 of 14 modelsHeap was named in the answer but not as the choice, or not at all.Heap first, Mixpanel not the choice
1 of 14 modelsMixpanel was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
10 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
Mixpanel34%#2 of 8Heap0%#6 of 8What the models said about Mixpanel
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“"Highest Caution: Mixpanel … When to avoid: If handling sensitive user data or EU users"ate"ated security incidents” Muse Glimmer 30B · negative prompt · hard negative
“Mixpanel | Team-wide adoption & UI | Exceptional visual query builder, highly democratized, great warehouse-syncing features, predictable MTU-based pricing.” Gemini 3.5 Flash · scale prompt · first choice
“Mixpanel: The Pure-Play Event Analytics Champion ... Its user interface is arguably the cleanest and most intuitive on the market.” Gemini 3.5 Flash · comparative prompt · first choice
What the models said about Heap
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Post-acquisition decline... Heap and Mixpanel have the most documented customer pain points” Kimi K2 · negative prompt · hard negative
“Heap (now by Contentsquare) – Be highly cautious” Grok 4.1 Fast · negative prompt · hard negative
“Heap - works best for mid-market B2B SaaS teams and non-technical product managers who need fast time-to-insight without engineering overhead.” Llama 4 Maverick · paraphrase prompt · first choice
“Heap is ideal for mid-market B2B SaaS teams and non-technical product managers who need fast time-to-insight” Llama 4 Maverick · direct prompt · first choice
“if you are under pressure to show immediate results and lack engineering resources, Heap will win you the most internal friends.” Qwen 3.7 Flash · direct 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.