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Address verification tools · November 2026 Edition

Loqate vs Lob

Zero of fourteen models named Loqate first on the direct prompt; zero named Lob. Loqate was named by fourteen of the fourteen models and Lob by ten and Loqate carries 38 labels and Lob 23, so the shares are not directly comparable.

Loqate

accepted challenger

Named in two categories this edition.

Lob

accepted challenger

Named in three categories this edition.

First-choice share6%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 7; printed, not drawn.
Labels3823A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Loqate reading right to left. Rank and label count are printed, not drawn.Smarty was named alongside these two in fourteen of the fourteen direct answers. Smarty vs Loqate · Smarty vs Lob · PostGrid Address Verification vs Loqate

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 address verification tools page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
LoqateFirst choices, of fourteen modelsLob
Direct00
Paraphrase30
Comparative10
Budget-constrained011 against Loqate
Scale-constrained00
Negative001 against Loqate
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 Loqate and Lob 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
Loqate Lob first choice named as an alternative argued againstblank: not namedEach cell is one answer, Loqate on the left and Lob on the right.

The direct prompt

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

Neither was the first choice, one was named

9 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashSmarty alternatives: Lob, Loqate, Melissa Global Address Verification
Perplexity SonarSmarty alternatives: Loqate, Melissa Global Address Verification, PostGrid Address Verification
Grok 4.20Smarty alternatives: Lob, PostGrid Address Verification
DeepSeek V4 FlashSmarty alternatives: Lob, Loqate, Melissa Global Address Verification, PostGrid Address Verification
Llama 4 MaverickSmarty alternatives: Loqate, Melissa Global Address Verification, PostGrid Address Verification, Radar
Kimi K2Smarty alternatives: Loqate, PostGrid Address Verification
MiniMax M2.5Smarty alternatives: Lob, Melissa Global Address Verification, PostGrid Address Verification
GPT-6 LunaSmarty alternatives: Loqate, Melissa Global Address Verification
Muse Glimmer 30BSmarty alternatives: Loqate, Melissa Global Address Verification, PostGrid Address Verification

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5PostGrid Address Verification alternatives: ComplyCube, Experian Address Validation, Melissa Global Address Verification, Smarty
GPT-5.4 miniSmarty alternatives: Melissa Global Address Verification, PostGrid Address Verification
Mistral SmallSmarty alternatives: Melissa Global Address Verification
Qwen 3.7 FlashSmarty alternatives: Experian Address Validation, Melissa Global Address Verification, PostGrid Address Verification
GLM 4.7 FlashXSmarty alternatives: Melissa Global Address Verification, PostGrid Address Verification, Shufti Pro

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
Level: the same share of first choices.
Loqate0%#5 of 6
Lob0%#4 of 6
The full small business standing →
Mid-marketThe figures above
Loqate leads by four points.
Loqate6%#3 of 7
Lob2%#4 of 7
The full mid-market standing →
Enterprise
Loqate leads by sixteen points.
Loqate16%#4 of 7
Lob0%#7 of 7
The full enterprise standing →

What the models said about Loqate

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

“some tools, including Loqate and Smarty, can become expensive depending on volume and usage patterns” GPT-5.4 mini · negative prompt · soft negative
“consider Loqate or Melissa, but they're usually better fits once budget is less constrained” GPT-5.4 mini · budget prompt · soft negative
“Loqate is the safest overall choice when the customer base is international” Perplexity Sonar · paraphrase prompt · first choice
“or Loqate if you need robust international validation capabilities” MiniMax M2.5 · paraphrase prompt · first choice
“I recommend Loqate (by GBG) as your primary choice.” GLM 4.7 FlashX · paraphrase prompt · first choice

What the models said about Lob

No label in this category carried a quote.

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.