Four of fourteen models named Bonusly first on the direct prompt; two named Achievers. Both were named by all fourteen models and Bonusly carries 57 labels and Achievers 33, so the shares are not directly comparable.
Named in four categories this edition.
Named in one category 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.
Across every category in the October 2026 Edition, Bonusly and Achievers were named in the same answer sixty-two times, of the 186 answers naming Bonusly and the 111 naming Achievers. In those answers Achievers took the first choice twelve times and Bonusly thirteen.
| 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 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Some AI models explicitly recommend avoiding SMB-focused "peer-shout-out" tools like Bonusly for large organizations” Mistral Small · negative prompt · hard negative
“Common gripes include monthly point caps that run out fast ... Reviewers say it feels generic and limiting for larger or unique teams.” Grok 4.1 Fast · negative prompt · soft negative
“Smaller international reach, limited regional reward depth, point-to-value inconsistencies” Kimi K2 · negative prompt · soft negative
“The best employee recognition software for most mid-market companies in 2025 is Bonusly for budget-conscious teams wanting fast peer-to-peer adoption” Muse Glimmer 30B · direct prompt · first choice
“For most mid-market B2B companies (roughly 100–1,000 employees), Bonusly is consistently ranked as the best overall choice.” DeepSeek V4 Flash · direct prompt · first choice
“Bonusly (Best Overall Value) ... widely considered the gold standard for affordability among professional recognition platforms” Qwen 3.7 Flash · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“avoid or be cautious with Bonusly (SMB versions), Awardco, Achievers, and generic Slack/Teams integrations” Mistral Small · negative prompt · hard negative
“Avoid enterprise platforms: Solutions like Workhuman, Awardco, and Achievers” DeepSeek V4 Flash · budget prompt · hard negative
“Counterintuitive interface, clunky navigation, limited point spending options, high point requirements for mediocre rewards” Kimi K2 · negative prompt · soft negative
“Achievers - A customizable recognition and rewards platform designed to scale for both mid‑market organizations and large enterprise teams.” Claude Haiku 4.5 · direct prompt · first choice
“Achievers — best for large, global, enterprise-style recognition programs with strong analytics and integrations.” GPT-5.4 mini · comparative prompt · first choice
“The Best All-Rounder for Growth: Achievers ... Achievers is the industry leader.” Qwen 3.7 Flash · 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.