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Technical hiring assessments · October 2026 Edition

TestGorilla vs DevSkiller

Two of fourteen models named TestGorilla first on the direct prompt; one named DevSkiller. TestGorilla was named by thirteen of the fourteen models and DevSkiller by nine and TestGorilla carries 28 labels and DevSkiller 10, so the shares are not directly comparable.

TestGorilla

criticized challenger

Named in four categories this edition.

DevSkiller

accepted challenger

Named in two categories this edition.

First-choice share10%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate32%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 9; printed, not drawn.
Labels2810A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, TestGorilla reading right to left. Rank and label count are printed, not drawn.HackerRank was named alongside these two in ten of the fourteen direct answers. HackerRank vs TestGorilla · HackerRank vs DevSkiller · CodeSignal vs TestGorilla

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 technical hiring assessments page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
TestGorillaFirst choices, of fourteen modelsDevSkiller
Direct21
Paraphrase00
Comparative103 against TestGorilla
Budget-constrained402 against TestGorilla
Scale-constrained00
Negative004 against TestGorilla
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 TestGorilla and DevSkiller stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
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
TestGorilla DevSkiller first choice named as an alternative argued againstblank: not namedEach cell is one answer, TestGorilla on the left and DevSkiller on the right.

The direct prompt

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

TestGorilla first, DevSkiller not the choice

2 of 14 modelsDevSkiller was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5HackerEarth, TestGorilla alternatives: CodeSignal
GLM 4.7 FlashXCodility, TestGorilla alternatives: CodeSignal, Coderbyte, HackerRank

DevSkiller first, TestGorilla not the choice

1 of 14 modelsTestGorilla was named in the answer but not as the choice, or not at all.
Muse Glimmer 30BCodeSignal, DevSkiller, HackerRank alternatives: Codility

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.
Perplexity SonarCodeSignal alternatives: Coderbyte, DevSkiller
Qwen 3.7 FlashCodeSignal alternatives: CoderPad, Codility, TestGorilla, Voomer
Kimi K2Coderbyte alternatives: HackerRank, TestGorilla

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniHackerRank alternatives: CodeSignal, Codility
Gemini 3.5 FlashCoderPad, Woven alternatives: CodeSignal
Grok 4.1 FastHackerRank alternatives: CodeSignal, CoderPad, Coderbyte, Codility
Mistral SmallGoodfit alternatives: HackerRank
DeepSeek V4 FlashCodility alternatives: CodeSignal, HackerRank
Llama 4 MaverickGoodfit alternatives: CodeSignal, Coderbyte, HackerRank
MiniMax M2.5Codility alternatives: AssessHub, CoderPad, HackerRank
GPT-6 LunaCodeSignal Hire Grow alternatives: CoderPad, HackerRank

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
TestGorilla leads by fourteen points.
TestGorilla14%#3 of 8
DevSkiller0%#– of 8
The full small business standing →
Mid-marketThe figures above
TestGorilla leads by nine points.
TestGorilla10%#5 of 9
DevSkiller2%#8 of 9
The full mid-market standing →
Enterprise
Level: the same share of first choices.
TestGorilla0%#7 of 8
DevSkiller0%#– of 8
The full enterprise standing →

What the models said about TestGorilla

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

“TestGorilla-style general testing platforms when your need is deep technical screening, because they are broader assessment suites rather than specialized developer tools.” Perplexity Sonar · negative prompt · soft negative
“HackerEarth and TestGorilla stand out for their balance of features, pricing accessibility, and ATS integration compatibility without requiring full enterprise implementations.” Claude Haiku 4.5 · direct prompt · first choice
“If you need zero upfront cost: start with TestGorilla’s free plan or LeetCode’s free problem bank for initial screening” Muse Glimmer 30B · budget prompt · first choice

What the models said about DevSkiller

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

“CodeSignal / DevSkiller are commonly recommended for 50-500 hires mid-market teams” Muse Glimmer 30B · direct prompt · first choice
“CodeSignal or DevSkiller is explicitly listed for *mid-market (50–500 hires)*” Perplexity Sonar · direct prompt · alternative
“Uses the RealLifeTesting" methodology... realistic code scenarios” GLM 4.7 FlashX · comparative prompt · alternative
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.