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Talent intelligence · October 2026 Edition

Pin vs Gem

Three of fourteen models named Pin first on the direct prompt; four named Gem. Pin was named by thirteen of the fourteen models and Gem by twelve and Pin carries 26 labels and Gem 24, so the shares are not directly comparable.

Pin

accepted challenger

Named in eleven categories this edition.

Gem

accepted challenger

Named in seven categories this edition.

First-choice share27%14%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 13; printed, not drawn.
Labels2624A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Pin reading right to left. Rank and label count are printed, not drawn.SeekOut was named alongside these two in nine of the fourteen direct answers. Pin vs hireEZ · Pin vs Eightfold AI · Pin vs Fuel50

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 talent intelligence page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
PinFirst choices, of fourteen modelsGem
Direct34
Paraphrase00
Comparative00
Budget-constrained921 against Gem
Scale-constrained11
Negative001 against Gem
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 October 2026 Edition, Pin and Gem were named in the same answer sixty-three times, of the 199 answers naming Pin and the 221 naming Gem. In those answers Gem took the first choice seven times and Pin twenty-seven.

Every model, every framing

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

The direct prompt

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

Pin first, Gem an alternative

3 of 14 modelsGem was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Arya, Pin alternatives: Engagedly, Lattice, iCIMS Talent Cloud
Perplexity SonarPin alternatives: Eightfold AI, Gem, Lightcast, SeekOut, hireEZ
GLM 4.7 FlashXPin alternatives: Eightfold AI, SeekOut, hireEZ

Gem first, Pin an alternative

4 of 14 modelsPin was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashGem alternatives: Findem, SeekOut, hireEZ
Grok 4.1 FastGem, hireEZ alternatives: Bryq, Phenom, SeekOut
Mistral SmallGem alternatives: Eightfold AI, Neobrain
DeepSeek V4 FlashGem alternatives: Fuel50, Pin, hireEZ

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Qwen 3.7 FlashEightfold AI alternatives: Gem, RepVisor, SeekOut, ZoomInfo Talent
Kimi K2SeekOut alternatives: Findem, Gem
MiniMax M2.5Metaview, hireEZ alternatives: Gem, SeekOut
Muse Glimmer 30BhireEZ alternatives: Gem, SeekOut

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 mini365Talents alternatives: Fuel50, Phenom, SeekOut
Llama 4 Maverickno first choice
GPT-6 LunaSeekOut Recruit alternatives: Lightcast

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
Pin leads by twelve points.
Pin21%#1 of 16
Gem8%#4 of 16
The full small business standing →
Mid-marketThe figures above
Pin leads by twelve points.
Pin27%#1 of 13
Gem14%#2 of 13
The full mid-market standing →
Enterprise
Pin leads by two points.
Pin2%#– of 15
Gem0%#14 of 15
The full enterprise standing →

What the models said about Pin

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

“The best talent intelligence platform for a company with a limited budget is Pin, which starts at $100/month and has a free tier.” Llama 4 Maverick · budget prompt · first choice

What the models said about Gem

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

“faces integration issues with some third-party systems and occasionally has UI and workflow clunkiness” Claude Haiku 4.5 · negative prompt · hard negative
“positioned more for outbound recruiting and pipeline management than broad talent intelligence” Perplexity Sonar · budget prompt · soft negative
“Gem is widely considered the best option for small businesses because they have a specific pricing tier designed to help you grow” GLM 4.7 FlashX · budget 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.