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AI recruiting assistants · November 2026 Edition

Greenhouse vs Gem

Three of fourteen models named Greenhouse first on the direct prompt; two named Gem. Greenhouse was named by fourteen of the fourteen models and Gem by eleven and Greenhouse carries 34 labels and Gem 19, so the shares are not directly comparable.

Greenhouse

accepted challenger

Named in fourteen categories this edition.

Gem

accepted challenger

Named in eight categories this edition.

First-choice share8%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 13; printed, not drawn.
Labels3419A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Greenhouse reading right to left. Rank and label count are printed, not drawn.Ashby was named alongside these two in nine of the fourteen direct answers. Workable vs Greenhouse · Workable vs Gem · Manatal vs Greenhouse

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 AI recruiting assistants page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
GreenhouseFirst choices, of fourteen modelsGem
Direct321 against Greenhouse · 1 against Gem
Paraphrase101 against Greenhouse
Comparative00
Budget-constrained00
Scale-constrained00
Negative002 against Greenhouse
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 Greenhouse and Gem 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
Greenhouse Gem first choice named as an alternative argued againstblank: not namedEach cell is one answer, Greenhouse on the left and Gem on the right.

The direct prompt

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

Greenhouse first, Gem not the choice

3 of 14 modelsGem was named in the answer but not as the choice, or not at all.
GPT-5.4 miniAshby, Greenhouse alternatives: Ceipal, Lever, Recruiterflow, Zoho Recruit
Mistral SmallGreenhouse, Workable
Muse Glimmer 30BGreenhouse, Workable alternatives: Paradox, SeekOut, hireEZ

Gem first, Greenhouse an alternative

2 of 14 modelsGreenhouse was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashGem, Juicebox alternatives: Ashby, Fetcher, Findem, Metaview
DeepSeek V4 FlashGem alternatives: Ashby, Greenhouse, SeekOut, Workable

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Ashby alternatives: Gem, Greenhouse, Lever
Perplexity SonarAshby alternatives: Greenhouse, Lever
Grok 4.20Recruiterflow alternatives: Ashby, Braintrust AIR, Findem, Greenhouse, HireVue, SeekOut
Qwen 3.7 FlashAshby alternatives: Gem, HireVue, Paradox, X-Team
GLM 4.7 FlashXTheHireHub.AI alternatives: Gem, Leelu AI, Workable, hireEZ
GPT-6 LunaAshby alternatives: Gem

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickTheHireHub.AI alternatives: Humanly, Workable
Kimi K2Ashby alternatives: Workable
MiniMax M2.5Leelu AI, Workable alternatives: Braintrust AIR, HRBlade, SeekOut

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.
Greenhouse0%#10 of 11
Gem0%#– of 11
The full small business standing →
Mid-marketThe figures above
Greenhouse leads by four points.
Greenhouse8%#4 of 13
Gem4%#6 of 13
The full mid-market standing →
Enterprise
Greenhouse leads by two points.
Greenhouse2%#9 of 13
Gem0%#13 of 13
The full enterprise standing →

What the models said about Greenhouse

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

“Avoid Greenhouse unless you specifically need enterprise-grade structured hiring workflows and are comfortable with custom pricing in the $10K+ range.” Kimi K2 · direct prompt · soft negative

What the models said about Gem

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

“these may be more relevant for larger enterprises or companies with specific sourcing challenges” Mistral Small · direct prompt · soft negative
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.