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Sales gamification · October 2026 Edition

Pointagram vs OneUp Sales

Zero of fourteen models named Pointagram first on the direct prompt; zero named OneUp Sales. Pointagram was named by ten of the fourteen models and OneUp Sales by seven and Pointagram carries 14 labels and OneUp Sales 12, so the shares are not directly comparable.

Pointagram

accepted challenger

Named in one category this edition.

OneUp Sales

accepted challenger

Named in one category this edition.

First-choice share10%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 9; printed, not drawn.
Labels1412A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Pointagram reading right to left. Rank and label count are printed, not drawn.Spinify was named alongside these two in twelve of the fourteen direct answers. Spinify vs Pointagram · Spinify vs OneUp Sales · Ambition vs Pointagram

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 sales gamification page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
PointagramFirst choices, of fourteen modelsOneUp Sales
Direct001 against Pointagram
Paraphrase00
Comparative00
Budget-constrained51
Scale-constrained00
Negative00
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, Pointagram and OneUp Sales were named in the same answer nine times, of the 47 answers naming Pointagram and the 27 naming OneUp Sales. In those answers OneUp Sales took the first choice one time and Pointagram four.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Pointagram and OneUp Sales stood in it.
ModelDirectOSParaphraseOSComparativeOSBudget-constrainedOSScale-constrainedOSNegativeOS
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity SonarOS
Grok 4.1 Fast
Mistral Small
DeepSeek V4 FlashOS
Llama 4 Maverick
Qwen 3.7 FlashOS
Kimi K2
GLM 4.7 FlashXOS
MiniMax M2.5OS
GPT-6 Luna
Muse Glimmer 30BOSOSOS
PointagramOS OneUp Sales first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pointagram on the left and OneUp Sales on the right.

The direct prompt

The plain question, one answer per model, grouped by where Pointagram and OneUp Sales stood in it.

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarSpinify alternatives: Ambition, OneUp Sales, SmartWinnr
DeepSeek V4 FlashSalesScreen alternatives: Ambition, OneUp Sales, Spinify
Qwen 3.7 FlashSalesScreen alternatives: OneUp Sales, SmartWinnr
MiniMax M2.5Ambition alternatives: Gametize, OneUp Sales, Spinify
Muse Glimmer 30BAmbition, Spinify alternatives: OneUp Sales, SalesScreen, Visdum

Neither was named

9 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Spinify alternatives: Ambition, Plecto
GPT-5.4 miniSpinify alternatives: Ambition, Gamifier, SalesScreen
Gemini 3.5 FlashSpinify alternatives: Ambition, LevelEleven, SalesScreen
Grok 4.1 FastSpinify alternatives: Ambition, LevelEleven, Plecto, SalesScreen
Mistral SmallSpinify alternatives: SalesScreen
Llama 4 Maverickno first choice
Kimi K2Ambition alternatives: LevelEleven, Spinify
GLM 4.7 FlashXSalesScreen alternatives: Ambition, Kendo AI, Spinify
GPT-6 LunaSpinify alternatives: Ambition, SalesScreen

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
Pointagram leads by nineteen points.
Pointagram19%#2 of 9
OneUp Sales0%#– of 9
The full small business standing →
Mid-marketThe figures above
Pointagram leads by eight points.
Pointagram10%#4 of 9
OneUp Sales2%#5 of 9
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Pointagram0%#– of 8
OneUp Sales0%#– of 8
The full enterprise standing →

What the models said about Pointagram

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

“Avoid enterprise-heavy (e.g., Centrical) or too basic (Pointagram) for mid-market scale.” Grok 4.1 Fast · direct prompt · hard negative
“Pointagram stands out as the best sales gamification platform for companies with a limited budget.” Grok 4.1 Fast · budget prompt · first choice
“Pointagram offers simple gamification starting at $5/user and features quick and easy setup” Claude Haiku 4.5 · budget prompt · first choice
“Pointagram is repeatedly flagged as the best free/low-cost sales gamification tool.” Muse Glimmer 30B · budget prompt · first choice

What the models said about OneUp Sales

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

“Start with Arcade or OneUp Sales if you have fewer than 10 salespeople - they're the most cost-effective” GLM 4.7 FlashX · budget prompt · first choice
“Also highlighted as a good fit for mid-sized companies, offering comprehensive features with good value.” MiniMax M2.5 · direct prompt · alternative
“Mid-sized companies will find comprehensive solutions in platforms like Ambition and OneUp Sales” Muse Glimmer 30B · 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.