Recognition and rewards
Asked as “employee recognition platform”, and as “employee rewards program software”, on behalf of a mid-market B2B company. 48 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
58%
Clear leader
58Bonusly15Matter08Assembly19others
58% of first choices, clear leader.
Since October 2026▲+29Since October 2026: 29% → 58%, +29 points. Past the 13-point floor: movement.Bonusly held the lead, +29 points on 29%, past the 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.Standing →Mid-marketBonusly58%Clear leader▲+29Since October 2026: 29% → 58%, +29 points. Past the 13-point floor: movement.This pageEnterprise
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.Standing →Mid-marketBonusly58%Clear leader▲+29Since October 2026: 29% → 58%, +29 points. Past the 13-point floor: movement.This pageEnterpriseAwardco29%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 mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Bonusly58%0%64endorsed leader▲+29Since October 2026: 29% → 58%, +29 points. Past the 13-point floor: movement.29% → 58%
Bonusly58%0%64endorsed leader▲+29Since October 2026: 29% → 58%, +29 points. Past the 13-point floor: movement.29% → 58%02
Matter15%0%17accepted challenger▲+5Since October 2026: 10% → 15%, +5 points. Inside the 13-point floor: within noise.10% → 15%
Matter15%0%17accepted challenger▲+5Since October 2026: 10% → 15%, +5 points. Inside the 13-point floor: within noise.10% → 15%03
Assembly8%0%31accepted challenger▲+8Since October 2026: 0% → 8%, +8 points. Inside the 13-point floor: within noise.0% → 8%
Assembly8%0%31accepted challenger▲+8Since October 2026: 0% → 8%, +8 points. Inside the 13-point floor: within noise.0% → 8%04
Nectar6%0%41accepted challenger▼−16Since October 2026: 22% → 6%, −16 points. Past the 13-point floor: movement.22% → 6%
Nectar6%0%41accepted challenger▼−16Since October 2026: 22% → 6%, −16 points. Past the 13-point floor: movement.22% → 6%05Awardco6%4%47accepted challenger▼−6Since October 2026: 12% → 6%, −6 points. Inside the 13-point floor: within noise.12% → 6%
Awardco6%4%47accepted challenger▼−6Since October 2026: 12% → 6%, −6 points. Inside the 13-point floor: within noise.12% → 6%06
Achievers2%11%27accepted challenger▼−6Since October 2026: 8% → 2%, −6 points. Inside the 13-point floor: within noise.8% → 2%
Achievers2%11%27accepted challenger▼−6Since October 2026: 8% → 2%, −6 points. Inside the 13-point floor: within noise.8% → 2%Show the four products at 0%, ordered by negative rate
07
Motivosity0%7%43accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise.2% → 0%
Motivosity0%7%43accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise.2% → 0%09
Workhuman0%6%17accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Workhuman0%6%17accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%08
Kudos0%0%17accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Kudos0%0%17accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%10
Guusto0%0%13accepted challenger▼−6Since October 2026: 6% → 0%, −6 points. Inside the 13-point floor: within noise.6% → 0%
Guusto0%0%13accepted challenger▼−6Since October 2026: 6% → 0%, −6 points. Inside the 13-point floor: within noise.6% → 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
All fifteen head-to-head pages: the top six products, each against each
One product takes 58% of first choices here, so the chart would put nine 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. Zero products carry a negative rate above 25% in this category.
What they warned about
Eight of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Grok 4.20, Mistral Small, GLM 4.7 FlashX and MiniMax M2.5 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.
Clearview AI100%
5 of 5 labels negative · 5 of 14 models · 5 hard negative
“Scraped Database Platforms (e.g., Clearview AI): Platforms that build facial recognition databases by scraping public social media photos without user consent.” Gemini 3.5 Flash, negative prompt
Motivosity7%
3 of 43 labels negative · 3 of 14 models · 1 hard negative
“Some platforms (e.g., Motivosity) require $3,000+/year minimums — avoid if truly budget-limited” MiniMax M2.5, budget prompt
PimEyes
100%
2 of 2 labels negative · 2 of 14 models · 2 hard negative
“PimEyes: Be extremely cautious or avoid. This facial search engine scans billions of web images and has been criticized for lacking safeguards against abuse” Grok 4.20, negative prompt
Awardco4%
2 of 47 labels negative · 2 of 14 models · 1 hard negative
“Awardco has received complaints about unreliable sales and customer support, making it difficult to trust for meaningful recognition.” Mistral Small, 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
71 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. 739 links across 192 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.
vendor site · Lead Change Group32 answers · 50 citations · 9 models
24 answers · 38 citations · 10 models
vendor site · Awardco24 answers · 28 citations · 12 models
vendor site · G219 answers · 28 citations · 11 models
18 answers · 21 citations · 8 models
vendor site · Bucketlist Rewards18 answers · 19 citations · 10 models
17 answers · 22 citations · 8 models
16 answers · 18 citations · 8 models
15 answers · 15 citations · 10 models
14 answers · 17 citations · 8 models
13 answers · 16 citations · 6 models
vendor site · Tremendous13 answers · 13 citations · 5 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.
20 answers · 8 models
17 answers · 10 models
16 answers · 8 models
14 answers · 7 models
13 answers · 5 models
12 answers · 7 models
11 answers · 8 models
11 answers · 7 models
11 answers · 8 models
10 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 | 58% | 200 | 14,800 | 75 | 44,595 | 21 | 2 | |
| Matter matterapp.com | 15% | 52 | 90,500 | 151,595 | 21,353 | 1 | ||
| Assembly joinassembly.com | 8% | 97 | 90,500 | 76,788 | 10,398 | 7 | ||
| Nectar nectarhr.com | 6% | 114 | 246,000 | 20,852 | 14,388 | 43 | 9 | |
| Awardco awardco.com | 6% | 152 | 27,100 | 303 | 32,927 | 14 | ||
| Achievers achievers.com | 2% | 107 | 6,600 | 69,832 | 295,924 | 5 | 4 | |
| Bucketlist bucketlistrewards.com Bucketlist Rewards 2% | 2% | 20 | 390 | 2 | 20,951 company | 16 | ||
| BRAVO getbravo.io | 2% | 34 | ||||||
| Motivosity motivosity.com | 0% | 86 | 8,100 | 58 | 12,155 | $27 | 30 | |
| Kudos kudos.com | 0% | 46 | 60,500 | 3,826 | 26,553 | 10 | 4 |
Google's top ten for the three searches hold 18 sites; 4 of them are among the sites the models cited here (matterapp.com, peoplemanagingpeople.com, selectsoftwarereviews.com, tremendous.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 mid-market B2B company?”Paraphrase“Which employee rewards program software would you recommend to a mid-sized B2B company?”Comparative“What are the top recognition platforms and how do they differ?”Budget-constrained“What is the best employee recognition platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an employee recognition platform. What should we look at?”Negative“Which recognition platforms should I avoid or be cautious about?”
Claude Haiku 4.5NectarAchievers, MatterChangedno first choiceMatterno first choicenothing named
Four alternatives
Achievers, Bonusly, Bucketlist Rewards, MotivosityTwo alternatives
Motivosity, NectarSix alternatives
Achievers, Assembly, Awardco, Bonusly, Crewhu, GuustoFour alternatives
Applauz, Bonusly, Guusto, NectarGPT-5.4 miniAwardcoNectarChangedno first choiceBonuslyno first choicenothing named
Three alternatives
Achievers, Bonusly, WorkhumanThree alternatives
Achievers, Awardco, WorkhumanSeven alternatives
Achievers, Awardco, Bonusly, Kudos, Motivosity, Terryberry, WorkhumanTwo alternatives
Awardco, NectarGemini 3.5 FlashBonuslyBonuslyHeldBonusly, NectarMatterno first choiceagainst: Clearview AI
Four alternatives
Awardco, Kudos, Nectar, WorkTangoThree alternatives
Cooleaf, Motivosity, NectarSix alternatives
Achievers, Awardco, Motivosity, O.C. Tanner Culture Cloud, Reward Gateway, WorkhumanFive alternatives
Assembly, Connecteam, Guusto, Microsoft Teams "Praise" App, NectarPerplexity SonarBonuslyBonuslyHeldno first choiceAssemblyno first choiceagainst: Clearview AI, FaceCheck.ID, PimEyes, Yoti
Two alternatives
Awardco, NectarFour alternatives
All Digital Rewards / RewardSTACK, Awardco, Matter, NectarEight alternatives
Achievers, Awardco, Bonusly, Kudos, Matter, Recognize, WorkTango, WorkhumanFour alternatives
Bonusly, Guusto, Matter, NectarGrok 4.20Awardcoagainst: Achievers, WorkhumanBonuslyChangedagainst: AchieversAmazon Rekognition, Microsoft Azure Face APIagainst: DeepFace, Face++, FaceNetBonuslyagainst: Motivosityno first choiceagainst: Amazon Alexa, Amazon Rekognition, Apple Siri, Clearview AI, Google Assistant, PimEyes
Four alternatives
BRAVO, Bonusly, Motivosity, NectarFour alternatives
Awardco, Bucketlist Rewards, Motivosity, NectarTwo alternatives
Idemia, NECFive alternatives
Applauz, BRAVO, Guusto, Mo, eCardWidgetMistral SmallBonuslyBonusly, NectarChangedno first choiceAssembly, Bonuslyno first choiceagainst: Awardco, Clearview AI
Four alternatives
Assembly, Awardco, Bucketlist Rewards, MotivosityTwo alternatives
Motivosity, TremendousTwo alternatives
Matter, NectarDeepSeek V4 FlashBonuslyBonuslyHeldBonuslyMatterno first choiceagainst: Xoxoday
Three alternatives
Assembly, Awardco, NectarThree alternatives
Awardco, Motivosity, NectarSeven alternatives
Achievers, Assembly, Awardco, Kudos, Motivosity, Nectar, WorkhumanTwo alternatives
Bonusly, GuustoLlama 4 Maverickno first choiceno first choiceHeldno first choiceBonuslyno first choiceagainst: Amazon Rekognition, Clarifai, FoodAI, Google Vision API, IBM Watson Recognition, LogMeal, Musicxmatch, Shazam, Snappy, SoundHound
Six alternatives
Assembly, Guusto, HeyTaco, Kudos, Matter, NectarQwen 3.7 FlashBonuslyBonuslyHeldAchievers, WorkhumanMatterBonuslyagainst: Achievers
Three alternatives
Culture Amp, Kudos, LatticeThree alternatives
Achievers, Kudos, MotivosityFive alternatives
Awardco, Bonusly, Guusto, Kudos, NectarThree alternatives
Assembly, Bonusly, HeyTacoFour alternatives
Assembly, Awardco, Motivosity, NectarKimi K2BonuslyBonuslyHeldBonuslyAssembly, Bonuslyagainst: Motivosityno first choicenothing named
Three alternatives
Assembly, Awardco, MotivosityFive alternatives
Awardco, Bucketlist Rewards, Guusto, Motivosity, NectarFour alternatives
Assembly, Awardco, Kudos, MotivosityTwo alternatives
BRAVO, ThriveSparrow KudosGLM 4.7 FlashXAssembly, BonuslyBonuslyChangedno first choiceMatterno first choiceagainst: ClarityCheck, Clearview AI
Three alternatives
Awardco, Motivosity, NectarThree alternatives
Assembly, Awardco, NectarTwo alternatives
Assembly, BonuslyMiniMax M2.5Awardco, BonuslyBonusly, Bucketlist RewardsChangedAwardco, BonuslyBRAVOagainst: Awardco, Motivosityno first choicenothing named
Two alternatives
Inspirus, Vantage CircleTwo alternatives
Awardco, MotivosityTwo alternatives
Nectar, WorkhumanThree alternatives
Assembly, Bonusly, NectarGPT-6 LunaBonuslyBonuslyHeldno first choiceMatterno first choicenothing named
Three alternatives
Awardco, Motivosity, NectarTwo alternatives
Awardco, NectarSix alternatives
Achievers, Awardco, Bonusly, Guusto, Nectar, WorkhumanOne alternative
BonuslyMuse Glimmer 30BBonuslyBonuslyHeldagainst: TremendousBonuslyBonuslyno first choiceagainst: Business Recognition and Award Connections, Globee, Marquis Who's Who, Netty Awards, The Award Program
Four alternatives
Assembly, Awardco, Inspirus, NectarTwo alternatives
Assembly, AwardcoNine alternatives
Achievers, Assembly, Awardco, Kudos, Matter, Motivosity, Nectar, O.C. Tanner Culture Cloud, WorkhumanThree alternatives
Assembly, BRAVO, Hey TacoBold 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 10:43 | yes | 14 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:40 | yes | 1 | 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 09:43 | yes | 6 | 21 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 12:53 | yes | 10 | 3 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:15 | yes | 13 | 33 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:11 | yes | 5 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:48 | yes | 23 | 24 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:51 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:02 | no | 0 | 33 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:02 | yes | 14 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:16 | yes | 13 | 56 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:02 | yes | 5 | 30 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:55 | yes | 4 | 11 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:37 | yes | 13 | 17 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:41 | yes | 17 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:13 | yes | 3 | 7 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 10:21 | no | 0 | 15 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 09:49 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:23 | yes | 5 | 27 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:06 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:41 | yes | 24 | 26 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:45 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:18 | no | 0 | 31 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:08 | yes | 9 | 28 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:38 | yes | 13 | 105 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:04 | yes | 5 | 28 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:18 | yes | 3 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 08:51 | yes | 12 | 23 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:52 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:34 | no | 0 | 6 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 08:46 | yes | 9 | 21 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 09:16 | yes | 10 | 7 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:08 | yes | 5 | 33 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:16 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:25 | yes | 22 | 35 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:10 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:01 | yes | 5 | 19 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:55 | yes | 10 | 22 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:01 | yes | 15 | 67 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:40 | yes | 5 | 23 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:24 | yes | 2 | 18 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:09 | yes | 12 | 21 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:00 | yes | 10 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:06 | yes | 3 | 4 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 10:12 | yes | 12 | 20 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 09:48 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:17 | yes | 5 | 22 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:47 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:04 | yes | 24 | 19 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:11 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:57 | yes | 9 | 17 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:16 | yes | 7 | 50 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:26 | yes | 13 | 48 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:29 | yes | 20 | 42 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:43 | yes | 2 | 11 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:26 | yes | 15 | 17 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:04 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:18 | no | 0 | 6 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 10:25 | no | 0 | 16 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 09:18 | yes | 10 | 12 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:16 | yes | 9 | 32 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:54 | no | 0 | 5 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:15 | yes | 25 | 50 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:19 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:30 | yes | 10 | 22 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:15 | yes | 18 | 27 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:10 | yes | 14 | 39 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:43 | no | 0 | 33 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:59 | yes | 1 | 17 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:05 | yes | 13 | 12 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:50 | no | 0 | 2 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:02 | no | 0 | 3 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 08:40 | yes | 10 | 22 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 11:34 | yes | 10 | 3 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:24 | yes | 19 | 32 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:12 | yes | 15 | 11 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:34 | yes | 25 | 27 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:31 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:44 | no | 0 | 29 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:31 | yes | 15 | 60 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:56 | yes | 25 | 27 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:14 | yes | 5 | 29 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:33 | no | 0 | 2 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:29 | yes | 14 | 24 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
Donut read as Donut Shoutouts
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
AWS Transcribe
All Digital Rewards / RewardSTACK
Amazon Alexa (Echo devices)
Apple Siri
Azure AI Vision
BioID
Business Recognition and Award Connections
Clarifai
ClarityCheck
CloakMe
Cognitec
DeepFace
Face++ (Megvii)
FaceCheck.ID
FaceFirst
FaceNet
Fawkes
FoodAI
Globee
Google Assistant (Nest/Google Home)
Google Cloud Vision
Google Vision API
Guuru
IBM Watson Recognition
Idemia
Imentiv AI
InsightFace
LogMeal
Luxand
Luxand.cloud
Marquis Who's Who
Microsoft Azure AI Custom Vision
Microsoft Azure Computer Vision
Microsoft Azure Speech Services
Microsoft Teams "Praise" App
Musicxmatch
Mycroft
NEC (NeoFace)
Netty Awards
Shazam
Shufti
Sky Biometry
Sonos
SoundHound
Syte
The Award Program
Trueface
Yoti
astica.ai
eCardWidget
iProov
Discontinued, still offered
No shut-down product was recommended here.