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Recruiting CRM and sourcing · October 2026 Edition

Lever vs LinkedIn Recruiter

Four of fourteen models named Lever first on the direct prompt; one named LinkedIn Recruiter. Lever was named by eleven of the fourteen models and LinkedIn Recruiter by fourteen and Lever carries 17 labels and LinkedIn Recruiter 34, so the shares are not directly comparable.

Lever

accepted challenger

Named in thirteen categories this edition.

LinkedIn Recruiter

criticized challenger

Named in seven categories this edition.

First-choice share15%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%26%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 10; printed, not drawn.
Labels1734A 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.Gem was named alongside these two in nine of the fourteen direct answers. Gem vs Lever · Gem vs LinkedIn Recruiter · Lever vs Manatal

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 Recruiting CRM and sourcing 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 modelsLinkedIn Recruiter
Direct411 against LinkedIn Recruiter
Paraphrase40
Comparative081 against LinkedIn Recruiter
Budget-constrained013 against LinkedIn Recruiter
Scale-constrained00
Negative004 against LinkedIn Recruiter
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 LinkedIn Recruiter 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
Lever LinkedIn Recruiter first choice named as an alternative argued againstblank: not namedEach cell is one answer, Lever on the left and LinkedIn Recruiter on the right.

The direct prompt

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

Lever first, LinkedIn Recruiter not the choice

4 of 14 modelsLinkedIn Recruiter was named in the answer but not as the choice, or not at all.
Grok 4.1 FastLever alternatives: Gem, Greenhouse, Pin, Workable, hireEZ
Mistral SmallLever alternatives: Guideflow, Intervue, Pin
MiniMax M2.5Lever alternatives: Pin, Recruit CRM
Muse Glimmer 30BLever alternatives: Gem, Workable, hireEZ

LinkedIn Recruiter first, Lever not the choice

1 of 14 modelsLever was named in the answer but not as the choice, or not at all.
GPT-5.4 miniLinkedIn Recruiter alternatives: Hiring Pro

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.
DeepSeek V4 FlashGem alternatives: Greenhouse, Lever, Workable
Kimi K2Gem, hireEZ alternatives: LinkedIn Recruiter, SeekOut
GPT-6 LunaGem alternatives: LinkedIn Recruiter, SeekOut

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Jobvite, Workable alternatives: Gem, hireEZ
Gemini 3.5 FlashGem alternatives: Juicebox, hireEZ
Perplexity SonarGem, hireEZ alternatives: Fetcher, Findem, SeekOut
Llama 4 Maverickno first choice
Qwen 3.7 FlashGem alternatives: Apollo.io, SeekOut
GLM 4.7 FlashXno first choice

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
LinkedIn Recruiter leads by three points.
LinkedIn Recruiter5%#6 of 12
Lever2%#– of 12
The full small business standing →
Mid-marketThe figures above
The order flips: Lever leads at mid-market.
Lever15%#2 of 10
LinkedIn Recruiter4%#7 of 10
The full mid-market standing →
Enterprise
The order flips: LinkedIn Recruiter leads at enterprise.
LinkedIn Recruiter6%#6 of 12
Lever0%#10 of 12
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. One of one in this category shown.

“Lever stands out as a top choice because it integrates sourcing, nurturing, and applicant tracking into a single system” Mistral Small · direct prompt · first choice

What the models said about LinkedIn Recruiter

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

“Overpriced Platforms with Opaque Pricing - LinkedIn Recruiter Corporate: $10,800–$15,000/year with 3-seat minimums” Kimi K2 · negative prompt · hard negative
“Tools like LinkedIn Recruiter cost north of $9K/year per seat—this is justified by network size, but many alternatives provide similar value at a fraction of the cost.” GLM 4.7 FlashX · negative prompt · soft negative
“The gold standard network with the highest candidate-intent database, though it lacks advanced multi-channel outbound automation on its own.” Gemini 3.5 Flash · comparative prompt · soft negative
“### 1. LinkedIn Recruiter - Best for: Enterprise-scale sourcing - Key difference: Direct access to the largest professional network” MiniMax M2.5 · comparative prompt · first choice
“The most widely used platform, leveraging the world's largest professional database (290M+ profiles).” Qwen 3.7 Flash · comparative prompt · first choice
“The default industry standard — by far the largest professional network with 1B+ profiles.” DeepSeek V4 Flash · comparative prompt · first choice
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.