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Candidate assessment · November 2026 Edition

Criteria Corp vs CodeSignal

Five of fourteen models named Criteria Corp first on the direct prompt; zero named CodeSignal. Criteria Corp was named by thirteen of the fourteen models and CodeSignal by eleven and Criteria Corp carries 36 labels and CodeSignal 14, so the shares are not directly comparable.

Criteria Corp

accepted challenger

Named in three categories this edition.

CodeSignal

accepted challenger

Named in three categories this edition.

First-choice share12%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 12; printed, not drawn.
Labels3614A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Criteria Corp reading right to left. Rank and label count are printed, not drawn.TestGorilla was named alongside these two in twelve of the fourteen direct answers. TestGorilla vs Criteria Corp · TestGorilla vs CodeSignal · Criteria Corp vs Codility

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 candidate assessment page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Criteria CorpFirst choices, of fourteen modelsCodeSignal
Direct50
Paraphrase11
Comparative00
Budget-constrained001 against CodeSignal
Scale-constrained00
Negative002 against Criteria Corp
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 Criteria Corp and CodeSignal 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
Criteria Corp CodeSignal first choice named as an alternative argued againstblank: not namedEach cell is one answer, Criteria Corp on the left and CodeSignal on the right.

The direct prompt

The plain question, one answer per model, grouped by where Criteria Corp and CodeSignal stood in it.

Criteria Corp first, CodeSignal not the choice

5 of 14 modelsCodeSignal was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Criteria Corp, Harver, Plum alternatives: JobCannon, SHL, TestGorilla, Vervoe, Wonderlic
GPT-5.4 miniCriteria Corp alternatives: HighMatch, TestGorilla, Testlify, The Predictive Index
Perplexity SonarCriteria Corp alternatives: Codility, TestGorilla, Vervoe
Grok 4.20Criteria Corp alternatives: Harver, TestGorilla, Thomas International
GPT-6 LunaCriteria Corp alternatives: TestGorilla

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashTestGorilla alternatives: Criteria Corp, The Predictive Index, Vervoe
DeepSeek V4 FlashTestGorilla alternatives: Canditech, Codility, Criteria Corp, HackerRank
Kimi K2TestGorilla alternatives: Codility, Criteria Corp, HackerRank, HireVue, Vervoe
GLM 4.7 FlashXTestGorilla alternatives: Criteria Corp, HireVue, Thomas International
MiniMax M2.5Prevue HR, TestGorilla alternatives: Codility, Criteria Corp, HackerRank, HireVue

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Mistral SmallCodility, HackerRank alternatives: TestGorilla, Thomas International
Llama 4 MaverickThomas International alternatives: Codility, EmployTest, HackerRank, Weirdly
Qwen 3.7 FlashTestGorilla alternatives: HackerRank, PI Online, Spark Hire, Vervoe
Muse Glimmer 30BCodility, Thomas alternatives: HackerRank, HireVue, Weirdly

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
Criteria Corp leads by two points.
Criteria Corp2%#6 of 11
CodeSignal0%#– of 11
The full small business standing →
Mid-marketThe figures above
Criteria Corp leads by ten points.
Criteria Corp12%#2 of 12
CodeSignal2%#6 of 12
The full mid-market standing →
Enterprise
Criteria Corp leads by twenty points.
Criteria Corp22%#2 of 12
CodeSignal2%#9 of 12
The full enterprise standing →

What the models said about Criteria Corp

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

“under investigation by California authorities for potential illegal bias in employment screening” Qwen 3.7 Flash · negative prompt · hard negative
“older or less transparent ones like some legacy SHL, Wonderlic, or Criteria tools” Grok 4.20 · negative prompt · soft negative
“Criteria Corp, Harver, and Plum bundle personality, cognitive, and behavioral assessments in one platform with strong ATS integration” Claude Haiku 4.5 · direct prompt · first choice
“Criteria (by Criteria Corp) stands out as the best overall pre-employment assessment platform for a mid-market B2B company” Grok 4.20 · direct prompt · first choice
“My default pick: Criteria Corp for a mid-market B2B company hiring across several job families.” GPT-6 Luna · direct prompt · first choice

What the models said about CodeSignal

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.