Bonusly vs Matter
Ten of fourteen models named Bonusly first on the direct prompt; zero named Matter. Bonusly was named by fourteen of the fourteen models and Matter by ten and Bonusly carries 64 labels and Matter 17, so the shares are not directly comparable.
Named in six categories this edition.
Named in three categories this edition.
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
BonuslyFirst choices, of fourteen modelsMatter
Across every category in the November 2026 Edition, Bonusly and Matter were named in the same answer forty-two times, of the 222 answers naming Bonusly and the 52 naming Matter. In those answers Matter took the first choice ten times and Bonusly seventeen.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | ||
| GPT-5.4 mini | | | | |||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | |||
| 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 Matter first choice named as an alternative argued againstblank: not namedEach cell is one answer, Bonusly on the left and Matter on the right.The direct prompt
Bonusly first, Matter not the choice
10 of 14 modelsMatter was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.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
Bonusly58%#1 of 10Matter15%#2 of 10What 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 Matter
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“1. Matter *(Best for Slack & Microsoft Teams)* ... Free plan available; Paid plans start around $1–$2 per user/month.” Gemini 3.5 Flash · budget prompt · first choice
“A recognition platform designed to work inside Slack and Microsoft Teams, with a free plan available” Claude Haiku 4.5 · budget prompt · first choice
“or Matter if you want to move quickly with an existing Slack/Teams integration” Claude Haiku 4.5 · paraphrase prompt · first choice
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.