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Recognition and rewards · November 2026 Edition

Bonusly vs Nectar

Ten of fourteen models named Bonusly first on the direct prompt; one named Nectar. Both were named by all fourteen models and Bonusly carries 64 labels and Nectar 41, so the shares are not directly comparable.

Bonusly

endorsed leader

Named in six categories this edition.

Nectar

accepted challenger

Named in four categories this edition.

First-choice share58%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 10; printed, not drawn.
Labels6441A 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.Awardco was named alongside these two in eleven of the fourteen direct answers. Bonusly vs Matter · Bonusly vs Assembly · Bonusly vs Awardco

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 recognition and rewards page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
BonuslyFirst choices, of fourteen modelsNectar
Direct101
Paraphrase112
Comparative51
Budget-constrained60
Scale-constrained10
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 November 2026 Edition, Bonusly and Nectar were named in the same answer 103 times, of the 222 answers naming Bonusly and the 118 naming Nectar. In those answers Nectar took the first choice five times and Bonusly fifty-nine.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Bonusly and Nectar stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
Bonusly Nectar first choice named as an alternative argued againstblank: not namedEach cell is one answer, Bonusly on the left and Nectar on the right.

The direct prompt

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

Bonusly first, Nectar an alternative

10 of 14 modelsNectar was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashBonusly alternatives: Awardco, Kudos, Nectar, WorkTango
Perplexity SonarBonusly alternatives: Awardco, Nectar
Mistral SmallBonusly alternatives: Assembly, Awardco, Bucketlist Rewards, Motivosity
DeepSeek V4 FlashBonusly alternatives: Assembly, Awardco, Nectar
Qwen 3.7 FlashBonusly alternatives: Culture Amp, Kudos, Lattice
Kimi K2Bonusly alternatives: Assembly, Awardco, Motivosity
GLM 4.7 FlashXAssembly, Bonusly alternatives: Awardco, Motivosity, Nectar
MiniMax M2.5Awardco, Bonusly alternatives: Inspirus, Vantage Circle
GPT-6 LunaBonusly alternatives: Awardco, Motivosity, Nectar
Muse Glimmer 30BBonusly alternatives: Assembly, Awardco, Inspirus, Nectar

Nectar first, Bonusly an alternative

1 of 14 modelsBonusly was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Nectar alternatives: Achievers, Bonusly, Bucketlist Rewards, Motivosity

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniAwardco alternatives: Achievers, Bonusly, Workhuman
Grok 4.20Awardco alternatives: BRAVO, Bonusly, Motivosity, Nectar

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno 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
Bonusly leads by fifty-four points.
Bonusly61%#1 of 13
Nectar7%#4 of 13
The full small business standing →
Mid-marketThe figures above
Bonusly leads by fifty-two points.
Bonusly58%#1 of 10
Nectar6%#4 of 10
The full mid-market standing →
Enterprise
Bonusly leads by five points.
Bonusly5%#4 of 10
Nectar0%#10 of 10
The full enterprise standing →

What the models said about Bonusly

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

“Bonusly — *Best for Peer-to-Peer Engagement & Culture Building* ... famous for its high adoption rates and lightweight, fun user experience” Gemini 3.5 Flash · direct prompt · first choice
“Bonusly | High-frequency peer recognition | Very easy to use, strong Slack/Teams integration, gamified feel. Great for rapid adoption.” Qwen 3.7 Flash · scale prompt · first choice
“Bonusly – Highly rated for its ease of use, integrations with HRIS and workplace tools, and flexible reward options” Mistral Small · direct prompt · first choice

What the models said about Nectar

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

“Nectar is best for mid-market companies (50-2,000) wanting clear peer recognition with visibility into collaboration patterns” Claude Haiku 4.5 · direct prompt · first choice
“Choose Bonusly or Nectar for their seamless Slack/Teams integrations and low barrier to entry.” Gemini 3.5 Flash · comparative prompt · first choice
“I'd usually recommend Nectar as the best starting point” GPT-5.4 mini · paraphrase 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.