Index › HR › Talent acquisition › AI recruiting assistants › Ashby vs Gem
AI recruiting assistants · November 2026 Edition

Ashby vs Gem

Six of fourteen models named Ashby first on the direct prompt; two named Gem. Ashby was named by twelve of the fourteen models and Gem by eleven and Ashby carries 28 labels and Gem 19, so the shares are not directly comparable.

Ashby

accepted challenger

Named in seven categories this edition.

Gem

accepted challenger

Named in eight categories this edition.

First-choice share15%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 13; printed, not drawn.
Labels2819A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Ashby reading right to left. Rank and label count are printed, not drawn.Workable vs Ashby · Workable vs Gem · Manatal vs Ashby

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.
AshbyFirst choices, of fourteen modelsGem
Direct621 against Gem
Paraphrase20
Comparative00
Budget-constrained00
Scale-constrained00
Negative002 against Ashby
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.

Across every category in the November 2026 Edition, Ashby and Gem were named in the same answer forty-two times, of the 244 answers naming Ashby and the 202 naming Gem. In those answers Gem took the first choice nine times and Ashby seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Ashby 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
Ashby Gem first choice named as an alternative argued againstblank: not namedEach cell is one answer, Ashby on the left and Gem on the right.

The direct prompt

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

Ashby first, Gem an alternative

6 of 14 modelsGem was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Ashby alternatives: Gem, Greenhouse, Lever
GPT-5.4 miniAshby, Greenhouse alternatives: Ceipal, Lever, Recruiterflow, Zoho Recruit
Perplexity SonarAshby alternatives: Greenhouse, Lever
Qwen 3.7 FlashAshby alternatives: Gem, HireVue, Paradox, X-Team
Kimi K2Ashby alternatives: Workable
GPT-6 LunaAshby alternatives: Gem

Gem first, Ashby an alternative

2 of 14 modelsAshby 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

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.20Recruiterflow alternatives: Ashby, Braintrust AIR, Findem, Greenhouse, HireVue, SeekOut
GLM 4.7 FlashXTheHireHub.AI alternatives: Gem, Leelu AI, Workable, hireEZ

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Mistral SmallGreenhouse, Workable
Llama 4 MaverickTheHireHub.AI alternatives: Humanly, Workable
MiniMax M2.5Leelu AI, Workable alternatives: Braintrust AIR, HRBlade, SeekOut
Muse Glimmer 30BGreenhouse, Workable alternatives: Paradox, SeekOut, hireEZ

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
Ashby leads by two points.
Ashby2%#7 of 11
Gem0%#– of 11
The full small business standing →
Mid-marketThe figures above
Ashby leads by eleven points.
Ashby15%#3 of 13
Gem4%#6 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Ashby0%#– of 13
Gem0%#13 of 13
The full enterprise standing →

What the models said about Ashby

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

“including Greenhouse, Lever, and Ashby, may be in violation of the Fair Credit Reporting Act (FCRA)” Qwen 3.7 Flash · negative prompt · soft negative
“Ashby (potential FCRA issues in consumer reporting)” Grok 4.20 · negative 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.