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Identity resolution · November 2026 Edition

FullContact vs Zingg

One of fourteen models named FullContact first on the direct prompt; zero named Zingg. FullContact was named by eleven of the fourteen models and Zingg by ten and FullContact carries 22 labels and Zingg 12, so the shares are not directly comparable.

FullContact

accepted challenger

Denver, United States, founded 2010. Named in two categories this edition.

Zingg

accepted challenger

Named in one category this edition.

First-choice share11%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 17; printed, not drawn.
Labels2212A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, FullContact reading right to left. Rank and label count are printed, not drawn.Hightouch Adaptive Identity Resolution vs FullContact · Hightouch Adaptive Identity Resolution vs Zingg · FullContact vs Twilio Segment Unify

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 identity resolution page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
FullContactFirst choices, of fourteen modelsZingg
Direct10
Paraphrase101 against FullContact
Comparative00
Budget-constrained431 against Zingg
Scale-constrained00
Negative00
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 FullContact and Zingg 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
FullContact Zingg first choice named as an alternative argued againstblank: not namedEach cell is one answer, FullContact on the left and Zingg on the right.

The direct prompt

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

FullContact first, Zingg not the choice

1 of 14 modelsZingg was named in the answer but not as the choice, or not at all.
Grok 4.20FullContact alternatives: Amperity, Dun & Bradstreet, LiveRamp Identity Resolution, Twilio Segment Unify

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashHightouch Adaptive Identity Resolution alternatives: FullContact, Prospeo, mParticle IDSync
Qwen 3.7 FlashHightouch Adaptive Identity Resolution alternatives: Apollo.io, D&B Connect, Zingg
MiniMax M2.5Leadspace alternatives: D&B Connect, FullContact
Muse Glimmer 30BHightouch Adaptive Identity Resolution, Warmly alternatives: CustomerLabs 1PD Ops, FullContact, Prospeo

Neither was named

9 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5RB2B, Warmly alternatives: Amperity, CaliberMind, CustomerLabs 1PD Ops, Hightouch Adaptive Identity Resolution, Tealium
GPT-5.4 miniHightouch Adaptive Identity Resolution alternatives: Amperity, Leadspace, Salesforce Data Cloud
Gemini 3.5 FlashHubSpot Breeze Intelligence, ZoomInfo alternatives: 6sense, Apollo.io, Leadspace
Perplexity SonarTwilio Segment Unify alternatives: Hightouch Adaptive Identity Resolution, Leadspace, Prospeo, RudderStack Profiles
Mistral SmallWarmly alternatives: Dun & Bradstreet, Informatica MDM, Tealium
Llama 4 MaverickHightouch Adaptive Identity Resolution
Kimi K2Twilio Segment Unify alternatives: BlueConic, D&B Connect
GLM 4.7 FlashXOppora, Tomba alternatives: Leadspace
GPT-6 LunaHubSpot Breeze Intelligence alternatives: Demandbase, RB2B, Twilio Segment Unify

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
FullContact leads by twenty-eight points.
FullContact30%#1 of 12
Zingg2%#– of 12
The full small business standing →
Mid-marketThe figures above
FullContact leads by six points.
FullContact11%#2 of 17
Zingg6%#4 of 17
The full mid-market standing →
Enterprise
Level: the same share of first choices.
FullContact0%#– of 13
Zingg0%#– of 13
The full enterprise standing →

What the models said about FullContact

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

“These suit lighter needs but may lack depth for full CRM unification.” Grok 4.20 · paraphrase prompt · soft negative
“If you are budget-conscious: FullContact offers great entry points. You can pay for what you use and grow as you go.” Muse Glimmer 30B · budget prompt · first choice
“Begin with FullContact's free tier (100 API calls/month) or Hightouch's free tier (2 active syncs)” GLM 4.7 FlashX · budget prompt · first choice
“Start with FullContact or Customers.ai. They offer lower barriers to entry than D&B” Qwen 3.7 Flash · paraphrase prompt · first choice

What the models said about Zingg

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

“if your team doesn't have the engineering bandwidth, Zingg requires ongoing investment to build labeled training data” Claude Haiku 4.5 · budget prompt · soft negative
“Ranked as the top free, open-source identity resolution platform, making it ideal for budget-conscious organizations.” Mistral Small · budget prompt · first choice
“Zingg (Best for ML & Fuzzy Matching): ... Cost: Free & Open Source.” Gemini 3.5 Flash · budget prompt · first choice
“Best Free Option: Zingg ... free, most powerful long-term” Kimi K2 · budget prompt · first choice
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.