Index › HR › Onboarding and employee experience › Recognition and rewards › Small business · November 2026 Edition
Recognition and rewards for small business buyers
Asked as “employee recognition platform”, and as “employee rewards program software”, on behalf of a small B2B company. 56 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
61%
Clear leader
61Bonusly11Matter09Guusto20others
61% of first choices, clear leader.
Since October 2026▲+1Since October 2026: 60% → 61%, +1 point. Inside the 13-point floor: within noise.Bonusly held the lead, +1 point on 60%, inside the 13-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Bonusly61%Clear leader▲+1Since October 2026: 60% → 61%, +1 point. Inside the 13-point floor: within noise.This pageMid-marketBonusly58%Clear leader▲+29Since October 2026: 29% → 58%, +29 points. Past the 13-point floor: movement.Standing →Enterprise
Awardco29%Contested↗new leaderNew leader since October 2026: Awardco (29%) replaces Achievers (39% then, 21% now), 8 points clear, inside the 13-point floor.Standing →
Bonusly61%Clear leader▲+1Since October 2026: 60% → 61%, +1 point. Inside the 13-point floor: within noise.This pageMid-marketBonusly58%Clear leader▲+29Since October 2026: 29% → 58%, +29 points. Past the 13-point floor: movement.Standing →EnterpriseAwardco29%Contested↗new leaderNew leader since October 2026: Awardco (29%) replaces Achievers (39% then, 21% now), 8 points clear, inside the 13-point floor.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Bonusly61%1%70endorsed leader▲+1Since October 2026: 60% → 61%, +1 point. Inside the 13-point floor: within noise.60% → 61%
Bonusly61%1%70endorsed leader▲+1Since October 2026: 60% → 61%, +1 point. Inside the 13-point floor: within noise.60% → 61%02
Matter11%0%18accepted challenger▲+1Since October 2026: 10% → 11%, +1 point. Inside the 13-point floor: within noise.10% → 11%
Matter11%0%18accepted challenger▲+1Since October 2026: 10% → 11%, +1 point. Inside the 13-point floor: within noise.10% → 11%03
Guusto9%3%32accepted challenger▲+1Since October 2026: 8% → 9%, +1 point. Inside the 13-point floor: within noise.8% → 9%
Guusto9%3%32accepted challenger▲+1Since October 2026: 8% → 9%, +1 point. Inside the 13-point floor: within noise.8% → 9%04
Nectar7%11%46accepted challenger▼−1Since October 2026: 8% → 7%, −1 point. Inside the 13-point floor: within noise.8% → 7%
Nectar7%11%46accepted challenger▼−1Since October 2026: 8% → 7%, −1 point. Inside the 13-point floor: within noise.8% → 7%05
BRAVO7%0%17accepted challenger▲+7Since October 2026: 0% → 7%, +7 points. Inside the 13-point floor: within noise.0% → 7%
BRAVO7%0%17accepted challenger▲+7Since October 2026: 0% → 7%, +7 points. Inside the 13-point floor: within noise.0% → 7%06
Assembly4%0%43accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise.2% → 4%
Assembly4%0%43accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise.2% → 4%Show the seven products at 0%, ordered by negative rate
13
Workhuman0%80%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Workhuman0%80%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%12
Achievers0%75%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Achievers0%75%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%11Awardco0%43%30criticized challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 13-point floor: within noise.4% → 0%
Awardco0%43%30criticized challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 13-point floor: within noise.4% → 0%10
Motivosity0%22%23accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Motivosity0%22%23accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%07
Kudos0%10%21accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Kudos0%10%21accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%08
HeyTaco0%7%15accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
HeyTaco0%7%15accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%09
Mo0%0%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Mo0%0%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
For buyers
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.
All fifteen head-to-head pages: the top six products, each against each
One product takes 61% of first choices here, so the chart would put twelve markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Three products carry a negative rate above 25% in this category.
What they warned about
Six of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.20, GLM 4.7 FlashX, MiniMax M2.5 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Achievers75%
9 of 12 labels negative · 7 of 14 models · 3 hard negative
“designed as an enterprise solution with enterprise pricing structures and complexity that small teams don't need” GLM 4.7 FlashX, negative prompt
Awardco43%
13 of 30 labels negative · 6 of 14 models · 3 hard negative
“Avoid enterprise-oriented platforms such as Awardco or Workhuman unless you need advanced global rewards” Perplexity Sonar, budget prompt
Workhuman80%
8 of 10 labels negative · 5 of 14 models · 4 hard negative
“Platforms reviewers repeatedly flag as a poor fit for small / startup teams: Workhuman, Achievers, WorkTango/Kazoo, Motivosity, Kudos, Vantage Circle and Awardco are quote-only” Muse Glimmer 30B, negative prompt
Motivosity22%
5 of 23 labels negative · 5 of 14 models · 2 hard negative
“Not ideal for small businesses with limited budgets or those seeking lightweight, plug-and-play tools” GLM 4.7 FlashX, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
76 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 803 links across 163 sites, every framing counted. Ranked by the number of answers carrying the site or page. 2 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
40 answers · 67 citations · 11 models
39 answers · 44 citations · 11 models
vendor site · Lead Change Group36 answers · 51 citations · 10 models
31 answers · 36 citations · 11 models
vendor site · FirstHR26 answers · 26 citations · 10 models
vendor site · Awardco25 answers · 41 citations · 12 models
vendor site · G225 answers · 29 citations · 11 models
23 answers · 27 citations · 8 models
19 answers · 26 citations · 9 models
19 answers · 25 citations · 10 models
vendor site · Bucketlist Rewards17 answers · 19 citations · 10 models
16 answers · 16 citations · 9 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
38 answers · 10 models
29 answers · 8 models
27 answers · 10 models
26 answers · 9 models
26 answers · 9 models
24 answers · 10 models
18 answers · 8 models
15 answers · 8 models
14 answers · 7 models
13 answers · 8 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best employee recognition platform”, “employee recognition platform”, “recognition platforms”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Bonusly bonusly.com | 61% | 200 | 14,800 | 75 | 44,595 | 21 | 2 | |
| Matter matterapp.com | 11% | 52 | 90,500 | 151,595 | 21,353 | 1 | ||
| Guusto guusto.com | 9% | 46 | 1,900 | 25 | 8,527 | |||
| Nectar nectarhr.com | 7% | 114 | 246,000 | 20,852 | 14,388 | 43 | 9 | |
| BRAVO getbravo.io | 7% | 34 | ||||||
| Assembly joinassembly.com | 4% | 97 | 90,500 | 76,788 | 10,398 | 7 | ||
| Xoxoday Plum xoxoday.com | 2% | 3 | ||||||
| Kudos kudos.com | 0% | 46 | 60,500 | 3,826 | 26,553 | 10 | 4 | |
| HeyTaco heytaco.com | 0% | 23 | 590 | 26 | 19,686 | |||
| Mo motivosity.com Mo 0%, Motivosity 0% | 0% | 86 | 8,100 | 58 | 12,155 | $27 | 30 |
Google's top ten for the three searches hold 18 sites; 2 of them are among the sites the models cited here (matterapp.com, peoplemanagingpeople.com). The first result for “best employee recognition platform” is selectsoftwarereviews.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best employee recognition platform for a small B2B company?”Paraphrase“Which employee rewards program software would you recommend to a small business that sells to other businesses?”Comparative“What are the top recognition platforms for a small team and how do they differ?”Budget-constrained“What is the best employee recognition platform for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating an employee recognition platform. What should we look at?”Negative“Which recognition platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5Assembly, NectarBonuslyChangedBonuslyBonuslyno first choiceagainst: Achievers, Awardco, Connecteam, Fond, Kudos
Four alternatives
Bonusly, HeyTaco, Matter, QarrotThree alternatives
BRAVO, Bucketlist Rewards, NectarFour alternatives
Assembly, HeyTaco, Matter, NectarFour alternatives
Assembly, Guusto, Kudos, NectarGPT-5.4 miniNectaragainst: AwardcoBonuslyChangedagainst: AwardcoBonuslyagainst: AwardcoBonuslyagainst: Awardcono first choicenothing named
Two alternatives
Bonusly, GuustoOne alternative
GuustoFive alternatives
Assembly, Kudos, Matter, Motivosity, NectarOne alternative
RecognizeGemini 3.5 FlashBonuslyNectarChangedBonusly, HeyTacoMatter, NectarBonuslyagainst: Achievers, Motivosity, O.C. Tanner Culture Cloud
Three alternatives
HeyTaco, Motivosity, NectarFour alternatives
Bonusly, Empuls, Guusto, MotivosityThree alternatives
Guusto, Nectar, TeamflectThree alternatives
Bonusly, Guusto, HeyTacoFour alternatives
Assembly, Guusto, HeyTaco, NectarPerplexity SonarBonuslyXoxoday PlumChangedagainst: Achievers, WorkhumanBonuslyagainst: EmpulsMatteragainst: Awardco, HeyTaco, Workhumanno first choiceagainst: Achievers, Awardco, Engagedly, Motivosity, Workhuman
Four alternatives
Assembly, Matter, Motivosity, NectarThree alternatives
BRAVO, Bonusly, GuustoSeven alternatives
Assembly, Connecteam, HeyTaco, Kudo Board, Kudos, Motivosity, NectarTwo alternatives
Assembly, BonuslyGrok 4.20Bonusly, GuustoGuustoChangedBonusly, Moagainst: Achievers, Nectar, O.C. Tanner Culture Cloud, Reward Gateway, WorkhumanBRAVOagainst: Bonusly, Workhumanno first choiceagainst: Amazon Rekognition, Dahua, Hikvision, Kairos, Microsoft Azure Face API, NtechLab, RecFaces
Three alternatives
BRAVO, Nectar, TerryberryTwo alternatives
Bucketlist Rewards, NectarFour alternatives
Applauz, Assembly, Kudos, TerryberryThree alternatives
Assembly, Guusto, MoMistral SmallBonusly, MatterBonusly, MatterHeldBonuslyAssembly, Bonuslyno first choicenothing named
One alternative
HeyTacoTwo alternatives
Awardco, GuustoFive alternatives
Assembly, Awardco, Guusto, Kudos, NectarTwo alternatives
Guusto, NectarDeepSeek V4 FlashBonuslyBonuslyHeldagainst: AwardcoAssembly, Bonuslyagainst: Awardco, MotivosityBonuslyBonuslyagainst: Achievers, Nectaragainst: Achievers, Awardco, O.C. Tanner Culture Cloud, Workhuman
Two alternatives
Awardco, GuustoThree alternatives
Guusto, Motivosity, NectarThree alternatives
Guusto, Kudos, NectarThree alternatives
Guusto, HeyTaco, MatterThree alternatives
Assembly, HeyTaco, MatterLlama 4 MaverickBonuslyBonuslyHeldBonuslyBonuslyno first choicenothing named
Three alternatives
Awardco, BRAVO, MotivosityFour alternatives
Assembly, Awardco, Bucketlist Rewards, MotivosityThree alternatives
Assembly, Nectar, TerryberryQwen 3.7 FlashBonuslyagainst: Oracle, ServiceNowBonuslyHeldBonuslyagainst: GuustoBonuslyno first choiceagainst: Angi, Better Business Bureau (BBB) Accreditation, Clutch.co, GoodFirms, Yelp Advertising
Two alternatives
Kudos, MotivosityTwo alternatives
Assembly, GuustoThree alternatives
Assembly, Awardco, KudosThree alternatives
Assembly, BRAVO, NectarKimi K2BonuslyBonuslyHeldagainst: NectarAssembly, Bonuslyagainst: NectarMatterBonuslynothing named
Three alternatives
Assembly, Guusto, NectarThree alternatives
Assembly, Awardco, GuustoOne alternative
AwardcoFour alternatives
Assembly, BRAVO, Bonusly, TeamflectTwo alternatives
Assembly, MatterGLM 4.7 FlashXBonuslyGuustoChangedBonuslyBonuslyBonuslyagainst: Achievers, Awardco, Motivosity, Workhuman
Four alternatives
Assembly, Guusto, Mo, NectarTwo alternatives
Bonusly, NectarNine alternatives
Assembly, Awardco, Bucketlist Rewards, Guusto, Kudos, Motivosity, Nectar, ThriveSparrow Kudos, Vantage CircleThree alternatives
Assembly, BRAVO, NectarMiniMax M2.5BRAVO, BonuslyBonusly, GuustoChangedBonuslyBRAVOagainst: Reward Gateway, TerryberryBonuslynothing named
Three alternatives
Assembly, Kudos, NectarTwo alternatives
Awardco, KudosFive alternatives
Assembly, BRAVO, Guusto, Mo, NectarThree alternatives
Assembly, Bonusly, MoThree alternatives
Assembly, BRAVO, NectarGPT-6 LunaBonuslyBonuslyHeldBonusly, MatterMatterno first choicenothing named
One alternative
NectarOne alternative
AwardcoTwo alternatives
Assembly, HeyTacoOne alternative
BonuslyMuse Glimmer 30BBonuslyGuustoChangedBonuslyagainst: AwardcoBonuslyBRAVOagainst: Achievers, Awardco, Kudos, Motivosity, Nectar, Vantage Circle, WorkTango, Workhuman
Four alternatives
Assembly, BRAVO, Bucketlist Rewards, NectarThree alternatives
Awardco, Bonusly, TerryberrySix alternatives
Assembly, Caroo, Kudos, Matter, Nectar, Vantage CircleFour alternatives
Assembly, BRAVO, Matter, NectarFive alternatives
Assembly, Bonusly, Mo, Nectar, QarrotBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:49 | yes | 14 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:04 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:51 | yes | 14 | 21 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 12:17 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:22 | yes | 10 | 31 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:47 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:50 | yes | 17 | 24 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:32 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:56 | no | 0 | 25 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:37 | yes | 13 | 61 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:20 | yes | 13 | 82 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:47 | yes | 8 | 36 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:58 | yes | 2 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:51 | yes | 12 | 21 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:39 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:30 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:59 | no | 0 | 14 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 12:21 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:26 | yes | 9 | 29 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:29 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:33 | yes | 24 | 24 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:42 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:47 | yes | 5 | 31 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:55 | yes | 20 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:44 | yes | 21 | 144 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:50 | yes | 5 | 16 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:43 | yes | 2 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:12 | yes | 11 | 18 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:31 | yes | 15 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:40 | yes | 5 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:31 | yes | 6 | 18 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 12:10 | yes | 10 | 5 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:22 | yes | 5 | 33 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:53 | yes | 5 | 5 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:07 | yes | 20 | 28 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:02 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:46 | yes | 5 | 43 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:46 | yes | 9 | 20 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:45 | yes | 19 | 137 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:03 | yes | 9 | 19 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:51 | yes | 4 | 15 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:51 | yes | 19 | 29 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:20 | yes | 10 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:23 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:01 | yes | 10 | 16 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 09:10 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:21 | yes | 19 | 41 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:52 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:01 | yes | 23 | 20 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:48 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:35 | yes | 5 | 28 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:55 | yes | 14 | 27 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:06 | yes | 15 | 19 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:23 | yes | 5 | 13 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:28 | yes | 2 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:44 | yes | 14 | 21 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:07 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:30 | no | 0 | 4 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:33 | no | 0 | 16 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 09:05 | yes | 10 | 6 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:03 | yes | 5 | 36 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:30 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:54 | yes | 17 | 32 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:56 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:10 | no | 0 | 30 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:24 | yes | 10 | 22 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:48 | yes | 15 | 95 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:20 | yes | 5 | 35 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:41 | yes | 1 | 12 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:32 | yes | 11 | 24 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:45 | yes | 16 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:06 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:43 | yes | 10 | 21 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 10:50 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:16 | yes | 15 | 39 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:28 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:58 | yes | 22 | 31 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:56 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:08 | yes | 24 | 49 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:21 | yes | 24 | 26 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:17 | yes | 24 | 63 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:53 | yes | 13 | 35 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:31 | no | 0 | 3 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:29 | yes | 21 | 34 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Bucketlist read as Bucketlist Rewards
O.C. Tanner read as O.C. Tanner Culture Cloud
O.C. Tanner (Culture Cloud) read as O.C. Tanner Culture Cloud
ThriveSparrow read as ThriveSparrow Kudos
Unresolved, counted raw
1Password
3DiVi
Angi (formerly Angie’s List / HomeAdvisor)
Better Business Bureau (BBB) Accreditation
Dahua
Edaly
Exemplary
FaceTec
GoodFirms
Hikvision
NtechLab
Perks
RecFaces
Recognito
Smart Workforce
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Tingle
Yelp Advertising
Discontinued, still offered
No shut-down product was recommended here.