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Product analytics · November 2026 Edition

Amplitude vs Mixpanel

Ten of fourteen models named Amplitude first on the direct prompt; five named Mixpanel. Both were named by all fourteen models and Amplitude carries 71 labels and Mixpanel 75, so the shares are not directly comparable.

Amplitude

endorsed leader

United States. Named in ten categories this edition.

Mixpanel

accepted challenger

San Francisco, United States, founded 2009. Named in ten categories this edition.

First-choice share46%22%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 8; printed, not drawn.
Labels7175A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Amplitude reading right to left. Rank and label count are printed, not drawn.PostHog was named alongside these two in eleven of the fourteen direct answers. Amplitude vs PostHog · PostHog 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 product 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.
AmplitudeFirst choices, of fourteen modelsMixpanel
Direct105
Paraphrase84
Comparative73
Budget-constrained11
Scale-constrained20
Negative009 against Amplitude · 12 against Mixpanel
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.

Across every category in the November 2026 Edition, Amplitude and Mixpanel were named in the same answer 443 times, of the 503 answers naming Amplitude and the 565 naming Mixpanel. In those answers Mixpanel took the first choice forty-two times and Amplitude sixty-four.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Amplitude and Mixpanel stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Amplitude Mixpanel first choice named as an alternative argued againstblank: not namedEach cell is one answer, Amplitude on the left and Mixpanel on the right.

The direct prompt

The plain question, one answer per model, grouped by where Amplitude and Mixpanel stood in it.

Both were the first choice

2 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
Mistral SmallAmplitude, Mixpanel alternatives: Heap, June, PostHog
Llama 4 MaverickAmplitude, Mixpanel alternatives: Heap, June, PostHog

Amplitude first, Mixpanel an alternative

8 of 14 modelsMixpanel was named in the answer but not as the choice, or not at all.
GPT-5.4 miniAmplitude alternatives: Heap, Mixpanel, Pendo
Perplexity SonarAmplitude alternatives: June, Mixpanel, Pendo
Grok 4.20Amplitude alternatives: Mixpanel, Pendo, PostHog
DeepSeek V4 FlashAmplitude alternatives: Mixpanel, Pendo, PostHog
Qwen 3.7 FlashAmplitude alternatives: June, Mixpanel, Pendo, PostHog
GLM 4.7 FlashXAmplitude alternatives: Heap, Mixpanel, Pendo, PostHog
MiniMax M2.5Amplitude alternatives: Mixpanel, Pendo, PostHog
Muse Glimmer 30BAmplitude alternatives: Mixpanel, Pendo, PostHog

Mixpanel first, Amplitude an alternative

3 of 14 modelsAmplitude was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashMixpanel alternatives: Amplitude, Heap, Pendo, PostHog
Kimi K2Mixpanel alternatives: Amplitude, PostHog
GPT-6 LunaMixpanel alternatives: Amplitude, Pendo, PostHog

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice

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
Mixpanel leads by twenty points.
Mixpanel25%#2 of 7
Amplitude5%#3 of 7
The full small business standing →
Mid-marketThe figures above
The order flips: Amplitude leads at mid-market.
Amplitude46%#1 of 8
Mixpanel22%#3 of 8
The full mid-market standing →
Enterprise
Amplitude leads by thirty-nine points.
Amplitude61%#1 of 9
Mixpanel22%#2 of 9
The full enterprise standing →

What the models said about Amplitude

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.

“Why to avoid: Amplitude receives a high share of negative labels (31% in one analysis)” Mistral Small · negative prompt · hard negative
“Amplitude: Strong all-rounder for behavioral analytics, AI insights, experimentation, and enterprise governance. Best if you need depth + scalability.” Grok 4.20 · scale prompt · first choice
“The Gold Standard for Deep Insights: Amplitude ... widely considered the leader in the space for large-scale B2B SaaS companies.” Qwen 3.7 Flash · paraphrase prompt · first choice
“the best default choice is usually Amplitude if you want the strongest all-around product analytics platform” GPT-5.4 mini · direct prompt · first choice

What the models said about Mixpanel

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.

“Mixpanel has received significant attention following a data breach in November 2025 that exposed profile information for some API users” MiniMax M2.5 · negative prompt · hard negative
Also compared

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.