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Index › HR › Talent acquisition › Applicant tracking syste › Lever vs 100Hires
Applicant tracking systems · November 2026 Edition

Lever vs 100Hires

One of fourteen models named Lever first on the direct prompt; zero named 100Hires. Lever was named by thirteen of the fourteen models and 100Hires by eleven and Lever carries 50 labels and 100Hires 17, so the shares are not directly comparable.

Lever

accepted challenger

Named in twelve categories this edition.

100Hires

accepted challenger

Named in four categories this edition.

First-choice share5%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 17; printed, not drawn.
Labels5017A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Lever reading right to left. Rank and label count are printed, not drawn.Greenhouse was named alongside these two in twelve of the fourteen direct answers. Greenhouse vs Lever · Greenhouse vs 100Hires · Workable vs Lever

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 applicant tracking systems page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
LeverFirst choices, of fourteen models100Hires
Direct101 against Lever
Paraphrase10
Comparative30
Budget-constrained021 against Lever
Scale-constrained10
Negative102 against Lever
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 Lever and 100Hires 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
Lever 100Hires first choice named as an alternative argued againstblank: not namedEach cell is one answer, Lever on the left and 100Hires on the right.

The direct prompt

The plain question, one answer per model, grouped by where Lever and 100Hires stood in it.

Lever first, 100Hires not the choice

1 of 14 models100Hires was named in the answer but not as the choice, or not at all.
Muse Glimmer 30BGreenhouse, Lever, Workable alternatives: Ashby, BambooHR

Neither was the first choice, one was named

9 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5no first choice alternatives: BambooHR, Greenhouse, Jobvite, Lever, Workable
GPT-5.4 miniGreenhouse alternatives: Lever, Workable
Gemini 3.5 FlashAshby alternatives: Greenhouse, Lever, Pinpoint
Perplexity SonarGreenhouse alternatives: Ashby, Lever, Pinpoint, Workable
Mistral SmallWorkable alternatives: Ashby, Greenhouse, Lever, Zoho Recruit
DeepSeek V4 FlashAshby alternatives: Greenhouse, Lever
Qwen 3.7 FlashAshby, Greenhouse alternatives: Lever, SmartRecruiters
Kimi K2Greenhouse alternatives: Ashby, Lever
GPT-6 LunaAshby alternatives: Greenhouse, Lever

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Grok 4.20Greenhouse alternatives: Ashby, Workable
Llama 4 Maverickno first choice
GLM 4.7 FlashXBreezy HR, Workable alternatives: Ashby, Crelate
MiniMax M2.5Breezy HR, Workable alternatives: Ashby, BambooHR, Greenhouse, JazzHR

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
100Hires leads by twenty points.
100Hires20%#2 of 14
Lever0%#10 of 14
The full small business standing →
Mid-marketThe figures above
The order flips: Lever leads at mid-market.
Lever5%#6 of 17
100Hires4%#7 of 17
The full mid-market standing →
Enterprise
Lever leads by four points.
Lever4%#5 of 10
100Hires0%#– of 10
The full enterprise standing →

What the models said about Lever

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

“Avoid expensive enterprise systems like Greenhouse or Lever unless you have the scale” Qwen 3.7 Flash · budget prompt · hard negative
“Works adequately for tracking candidates (though some users find it lacking in reporting and sourcing)” GLM 4.7 FlashX · negative prompt · soft negative
“Top Pick: Lever ... Choose Lever if you want the best balance of functionality, scalability, and modern features” Kimi K2 · paraphrase prompt · first choice
“Lever / Greenhouse: The gold standard for scaling tech companies. Highly customizable, great analytics” Qwen 3.7 Flash · scale prompt · first choice

What the models said about 100Hires

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

“100Hires and Zoho Recruit are top choices due to their low cost and robust features” Mistral Small · budget prompt · first choice
“🏆 Top Recommendation: 100Hires” DeepSeek V4 Flash · budget prompt · first choice
Also compared
Greenhouse vs LeverGreenhouse vs 100HiresWorkable vs LeverWorkable vs 100HiresBreezy HR vs LeverBreezy HR vs 100HiresAshby vs LeverAshby vs 100HiresZoho Recruit vs LeverZoho Recruit vs 100HiresLever vs Manatal100Hires vs ManatalAll twenty-eight head-to-head pages and the full applicant tracking syste standing

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.