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Workforce planning · September 2026 Edition

ChartHop vs Abacum

Two of twelve models named ChartHop first on the direct prompt; zero named Abacum. ChartHop was named by eleven of the twelve models and Abacum by eight and ChartHop carries 37 labels and Abacum 11, so the shares are not directly comparable.

ChartHop

endorsed leader

Named in seven categories this edition.

Abacum

accepted challenger

Named in one category this edition.

First-choice share31%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 13; printed, not drawn.
Labels3711A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ChartHop reading right to left. Rank and label count are printed, not drawn.Workday Adaptive Planning was named alongside these two in eight of the twelve direct answers. ChartHop vs Homebase · ChartHop vs Rippling · ChartHop vs Workday Adaptive Planning

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 workforce planning page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
ChartHopFirst choices, of twelve modelsAbacum
Direct20
Paraphrase92
Comparative00
Budget-constrained101 against ChartHop
Scale-constrained40
Negative10
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where ChartHop and Abacum 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
ChartHop Abacum first choice named as an alternative argued againstblank: not namedEach cell is one answer, ChartHop on the left and Abacum on the right.

The direct prompt

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

ChartHop first, Abacum an alternative

2 of 12 modelsAbacum was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5ChartHop alternatives: Deel, HiBob, Paylocity, Pigment
Gemini 3.5 FlashChartHop alternatives: Abacum, Mosaic, Pigment, Rippling, TeamOhana

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarWorkday Adaptive Planning alternatives: Abacum, HiBob, Paylocity, Visier
Grok 4.1 FastRippling alternatives: ChartHop, Paylocity, Planful, Workday Adaptive Planning
DeepSeek V4 FlashPlanful, Workday Adaptive Planning alternatives: ADP Workforce Now, ChartHop, Paylocity, Pigment, Visier
Llama 4 MaverickWorkday Adaptive Planning alternatives: Abacum, HiBob, Paylocity, Planful, Visier
Qwen 3.7 FlashPlanful alternatives: Abacum, Orgvue, Paylocity, Visier, Workday Adaptive Planning

Neither was named

5 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniHiBob alternatives: Anaplan, Rippling, Workday Adaptive Planning
Mistral SmallWorkday Adaptive Planning alternatives: ADP Workforce Now, HiBob, Paylocity, Planful, Visier
Kimi K2Rippling alternatives: ADP Workforce Now, HiBob, Paylocity, Pigment, Workday Adaptive Planning
GLM 4.7 FlashXHiBob alternatives: Planful, Visier
MiniMax M2.5Dayforce, Visier alternatives: Workday

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
Abacum is not named for this buyer.
ChartHop13%#3 of 12
Abacumnot named
The full small business standing →
Mid-marketThe figures above
ChartHop leads by twenty-seven points.
ChartHop31%#1 of 13
Abacum4%#7 of 13
The full mid-market standing →
Enterprise
ChartHop leads by seven points.
ChartHop7%#3 of 9
Abacum0%#– of 9
The full enterprise standing →

What the models said about ChartHop

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

“ChartHop is known for its ease of use and strong visualization capabilities, particularly for mid-market organizations seeking greater organizational visibility” Claude Haiku 4.5 · direct prompt · first choice
“ChartHop: Highly visual, built around interactive org charts with excellent "what-if" scenario planning and strong mid-market integrations.” Gemini 3.5 Flash · scale prompt · first choice
“Choose ChartHop if you want a visual, collaborative, and HR-friendly tool... (This is the most common crowd-pleaser for mid-sized teams)” Gemini 3.5 Flash · paraphrase prompt · first choice

What the models said about Abacum

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

“Abacum — Best for scaling mid-market businesses that need HR and Finance to plan from a single source of truth with integrated financial modeling.” GLM 4.7 FlashX · paraphrase prompt · first choice
“I'd suggest ChartHop if your Head of People/HR wants to drive the process, or Abacum if your CFO/Finance team wants to lead.” Kimi K2 · paraphrase prompt · first choice
“mid-market teams may benefit from lighter tools like Abacum or Planful before investing in a dedicated workforce planning suite” Llama 4 Maverick · scale prompt · alternative
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.