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Recognition and rewards · September 2026 Edition
Bonusly vs Bucketlist Rewards
Three of twelve models named Bonusly first on the direct prompt; zero named Bucketlist Rewards. Bonusly was named by twelve of the twelve models and Bucketlist Rewards by seven and Bonusly carries 48 labels and Bucketlist Rewards 10, so the shares are not directly comparable.
Named in four categories this edition.
Named in one category this edition.
First-choice share22%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate2%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 12; printed, not drawn.
Labels4810A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Bonusly reading right to left. Rank and label count are printed, not drawn.Nectar was named alongside these two in eleven of the twelve direct answers. Bonusly vs Nectar · Bonusly vs Matter · Bonusly vs Motivosity
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 recognition and rewards page.
By framing
How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
BonuslyFirst choices, of twelve modelsBucketlist Rewards
Direct30
Paraphrase33
Comparative00
Budget-constrained30
Scale-constrained00
Negative001 against Bonusly
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 Bonusly and Bucketlist Rewards stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | |
Bonusly Bucketlist Rewards first choice named as an alternative argued againstblank: not namedEach cell is one answer, Bonusly on the left and Bucketlist Rewards on the right.The direct prompt
The plain question, one answer per model, grouped by where Bonusly and Bucketlist Rewards stood in it.
Bonusly first, Bucketlist Rewards not the choice
3 of 12 modelsBucketlist Rewards was named in the answer but not as the choice, or not at all.GPT-5.4 miniBonusly alternatives: Achievers, Awardco, Motivosity, Workhuman
Gemini 3.5 FlashBonusly alternatives: Awardco, Nectar, WorkTango
Kimi K2Bonusly alternatives: Awardco, Motivosity, Nectar, WorkTango
Neither was the first choice, one was named
6 of 12 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Nectar alternatives: Achievers, Awardco, Bonusly, Motivosity
Grok 4.1 FastAwardco alternatives: Bonusly, Nectar
DeepSeek V4 FlashNectar alternatives: Bonusly, Workhuman
Qwen 3.7 FlashNectar alternatives: Achievers, Bonusly, Tremendous
GLM 4.7 FlashXNectar, Workhuman alternatives: Achievers, Bonusly, Vantage Circle
MiniMax M2.5Achievers alternatives: Awardco, Bonusly, Nectar, Workhuman
Neither was named
3 of 12 modelsThe answer made no first choice from these two in this category.Perplexity SonarNectar alternatives: Achievers
Mistral SmallMotivosity, Nectar alternatives: Snappy, Workhuman
Llama 4 MaverickNectar alternatives: Motivosity, Recognize
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
Bonusly leads by fifty-eight points.
Bonusly60%#1 of 8Bucketlist Rewards2%#– of 8Mid-marketThe figures above
Bonusly leads by fifteen points.
Bonusly22%#1 of 12Bucketlist Rewards7%#6 of 12Enterprise
Bonusly leads by two points.
Bonusly2%#5 of 10Bucketlist Rewards0%#– of 10What the models said about Bonusly
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Desktop-focused, limited custom rewards, basic analytics, and required monthly point caps that can add unexpected costs.” Mistral Small · negative prompt · soft negative
“start with Matter (free or $1/user/month) or Bonusly (free plan available). Both are highly rated” Mistral Small · budget prompt · first choice
“For most small companies with limited budgets, Bonusly offers the best balance” DeepSeek V4 Flash · budget prompt · first choice
“Bonusly — *Best Overall for High Adoption and B2B Tech Cultures*” Gemini 3.5 Flash · direct prompt · first choice
What the models said about Bucketlist Rewards
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Bucketlist - Best for mid-sized organizations looking for an easy-to-use recognition and rewards platform” Llama 4 Maverick · paraphrase prompt · first choice
“Best for mid-sized organizations seeking an easy-to-use recognition and rewards platform” Mistral Small · paraphrase prompt · first choice
“1. Bucketlist Rewards ... is a strong fit for mid-sized to enterprise companies” Claude Haiku 4.5 · paraphrase prompt · first choice
Also compared
Bonusly vs NectarBonusly vs MatterBonusly vs MotivosityBonusly vs AwardcoBonusly vs GuustoBonusly vs AchieversNectar vs Bucketlist RewardsMatter vs Bucketlist RewardsMotivosity vs Bucketlist RewardsAwardco vs Bucketlist RewardsBucketlist Rewards vs GuustoBucketlist Rewards vs AchieversAll twenty-eight head-to-head pages and the full recognition and rewards 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.