FullContact vs Senzing
One of fourteen models named FullContact first on the direct prompt; zero named Senzing. FullContact was named by eleven of the fourteen models and Senzing by nine and FullContact carries 22 labels and Senzing 13, so the shares are not directly comparable.
Denver, United States, founded 2010. Named in two categories this edition.
Las Vegas, United States. 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 identity resolution page.
By framing
FullContactFirst choices, of fourteen modelsSenzing
Across every category in the November 2026 Edition, FullContact and Senzing were named in the same answer seventeen times, of the 76 answers naming FullContact and the 41 naming Senzing. In those answers Senzing took the first choice one time and FullContact four.
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 4.20 | | | | | | |
| 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 Senzing first choice named as an alternative argued againstblank: not namedEach cell is one answer, FullContact on the left and Senzing on the right.The direct prompt
FullContact first, Senzing not the choice
1 of 14 modelsSenzing was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 of 14 modelsThe answer made no first choice from these two in this category.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
FullContact30%#1 of 12Senzing0%#8 of 12FullContact11%#2 of 17Senzing2%#6 of 17FullContact0%#– of 13Senzing0%#6 of 13What 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 Senzing
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Senzing: $58,560+ starting price” Kimi K2 · budget prompt · hard negative
“better for data-heavy ops teams, but potentially overkill or pricier” Grok 4.20 · direct prompt · soft negative
“Hightouch or Senzing offer the best combination of capability, scalability, and affordability” DeepSeek V4 Flash · budget prompt · first choice
“Senzing offers entity-centric, evidence-based resolution with embedded SDK for self-managed deployment” Claude Haiku 4.5 · comparative prompt · alternative
“Select Senzing or Tilores if you are a software team building application-level identity logic” Gemini 3.5 Flash · comparative 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.