TestDome vs TestGorilla
Zero of fourteen models named TestDome first on the direct prompt; one named TestGorilla. TestDome was named by eleven of the fourteen models and TestGorilla by fourteen and TestDome carries 16 labels and TestGorilla 36, so the shares are not directly comparable.
Named in two categories this edition.
Named in six categories 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 technical hiring assessments page.
By framing
TestDomeFirst choices, of fourteen modelsTestGorilla
Across every category in the November 2026 Edition, TestDome and TestGorilla were named in the same answer thirty-nine times, of the 57 answers naming TestDome and the 277 naming TestGorilla. In those answers TestGorilla took the first choice eleven times and TestDome two.
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 | | | |
TestDome TestGorilla first choice named as an alternative argued againstblank: not namedEach cell is one answer, TestDome on the left and TestGorilla on the right.The direct prompt
TestGorilla first, TestDome not the choice
1 of 14 modelsTestDome was named in the answer but not as the choice, or not at all.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.Neither was named
8 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
TestDome6%#5 of 9TestGorilla6%#4 of 9What the models said about TestDome
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“reviewers note proctoring can be accidentally left enabled, so teams need to double-check settings before sending assessments” GPT-5.4 mini · negative prompt · soft negative
“specific reviews call it "the worst testing platform" due to delivery issues” Grok 4.20 · negative prompt · soft negative
“For a company with a tight or unpredictable budget, I'd start with TestDome.” GPT-6 Luna · budget prompt · first choice
“such as Coderbyte or TestDome, which offer pay-as-you-go pricing” Llama 4 Maverick · budget prompt · first choice
“Excellent for ultra-low budgets or bursty hiring... lacks some of Coderbyte's AI/advanced screening features” Grok 4.20 · budget prompt · alternative
What the models said about TestGorilla
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Why to Be Cautious: While popular for its variety of assessments, users often complain about the ratio of "fluff" to actual coding questions.” Qwen 3.7 Flash · negative prompt · soft negative
“Better suited to teams consolidating general hiring assessments than to teams needing a deep software-engineering workbench.” GPT-6 Luna · comparative prompt · soft negative
“TestGorilla is favored by small businesses, indicating a potential mismatch for larger companies” Muse Glimmer 30B · paraphrase prompt · soft negative
“TestGorilla is designed for both technical and non-technical hiring... specifically aimed at providing an affordable solution for small- and medium-sized enterprises” Claude Haiku 4.5 · direct prompt · first choice
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.