Index › Onboarding and employee experience › Recognition and rewards › Small business › October 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. 50 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
60%
Clear leader
60Bonusly10Matter08Guusto22others
60% of first choices, clear leader.
Since September 2026▼−1Since September 2026: 60% → 59%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.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
Bonusly60%Clear leader▼−1Since September 2026: 60% → 59%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageMid-marketBonusly29%Contested↗new leaderNew leader since September 2026: Nectar (26%) replaces Bonusly (22% then, 23% now), 2 points clear, inside the 13-point floor.Standing →Enterprise
Achievers39%Contested=heldSince September 2026: 38% → 38%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →
Bonusly60%Clear leader▼−1Since September 2026: 60% → 59%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageMid-marketBonusly29%Contested↗new leaderNew leader since September 2026: Nectar (26%) replaces Bonusly (22% then, 23% now), 2 points clear, inside the 13-point floor.Standing →EnterpriseAchievers39%Contested=heldSince September 2026: 38% → 38%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.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 September 2026
01Bonusly60%0%66endorsed leader▼−1Since September 2026: 60% → 59%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.60% → 59%
Bonusly60%0%66endorsed leader▼−1Since September 2026: 60% → 59%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.60% → 59%02
Matter10%0%25accepted challenger=heldSince September 2026: 9% → 9%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 9%
Matter10%0%25accepted challenger=heldSince September 2026: 9% → 9%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 9%03
Nectar8%11%53accepted challenger▲+2Since September 2026: 7% → 9%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 9%
Nectar8%11%53accepted challenger▲+2Since September 2026: 7% → 9%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 9%04
Guusto8%0%28accepted challenger▲+2Since September 2026: 7% → 9%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 9%
Guusto8%0%28accepted challenger▲+2Since September 2026: 7% → 9%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 9%05
Awardco4%37%27criticized challenger▼−2Since September 2026: 7% → 5%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 5%
Awardco4%37%27criticized challenger▼−2Since September 2026: 7% → 5%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 5%06
Assembly2%0%26accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Assembly2%0%26accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%Show the three products at 0%, ordered by negative rate
09Achievers0%91%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Achievers0%91%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%08
Motivosity0%44%25criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Motivosity0%44%25criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%07
Kudos0%13%23accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
Kudos0%13%23accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 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 is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. 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.
All fifteen head-to-head pages: the top six products, each against each
One product takes 60% of first choices here, so the chart would put eight 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
Eleven of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Mistral Small and GLM 4.7 FlashX 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.
Achievers91%
10 of 11 labels negative · 8 of 14 models · 9 hard negative
“**Large enterprise platforms** such as Achievers, because they are designed for 500+ employees and may be more complex than small teams need.” Perplexity Sonar, negative prompt
Awardco37%
10 of 27 labels negative · 6 of 14 models · 2 hard negative
“**Why avoid:** Limited variety of gift card vendors (mostly Amazon), higher or inflated reward prices” GLM 4.7 FlashX, negative prompt
Workhuman88%
7 of 8 labels negative · 5 of 14 models · 4 hard negative
“Workhuman/Achievers (not tabled) skew enterprise/global; avoid for small teams due to custom/high pricing.” Grok 4.1 Fast, comparative prompt
Motivosity44%
11 of 25 labels negative · 5 of 14 models · 3 hard negative
“What to Avoid - Motivosity ... has a $3,000 annual minimum—making it expensive for very small teams.” Kimi K2, direct prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
79 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. 1012 links across 159 sites, every framing counted. Ranked by the number of answers carrying the site or page. 18 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 · Engagedly45 answers · 45 citations · 11 models
vendor site · Workhuman43 answers · 54 citations · 13 models
42 answers · 52 citations · 11 models
39 answers · 46 citations · 12 models
vendor site · Tremendous38 answers · 40 citations · 11 models
vendor site · G236 answers · 52 citations · 13 models
vendor site · Awardco33 answers · 40 citations · 12 models
vendor site · ThriveSparrow31 answers · 36 citations · 9 models
vendor site · Bonusly28 answers · 35 citations · 11 models
vendor site · Motivosity23 answers · 27 citations · 10 models
22 answers · 39 citations · 10 models
vendor site · FirstHR22 answers · 22 citations · 7 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.
45 answers · 11 models
38 answers · 11 models
37 answers · 12 models
31 answers · 10 models
30 answers · 9 models
26 answers · 12 models
24 answers · 12 models
22 answers · 7 models
22 answers · 10 models
20 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 | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|
| Bonusly bonusly.com | 60% | 176 | 14,800 | 75 | 44,595 | 21 | 2 |
| Matter matterapp.com | 10% | 46 | 90,500 | 151,595 | 21,353 | 1 | |
| Nectar nectarhr.com | 8% | 137 | 246,000 | 20,852 | 14,388 | 43 | 9 |
| Guusto guusto.com | 8% | 53 | 1,900 | 25 | 8,527 | ||
| Awardco awardco.com | 4% | 124 | 27,100 | 303 | 32,927 | 14 | |
| Assembly joinassembly.com | 2% | 56 | 90,500 | 76,788 | 10,398 | 7 | |
| Reward Gateway rewardgateway.com | 2% | 37 | 720 | 34 | 41,014 | 30 | |
| Bucketlist bucketlistrewards.com Bucketlist Rewards 2% | 2% | 12 | 390 | 2 | 20,951 company | 16 | |
| Hey Taco | 2% | ||||||
| TeamToast teamtoast.ai | 2% | 1 |
Google's top ten for the three searches hold 18 sites; 6 of them are among the sites the models cited here (bonusly.com, matterapp.com, peoplemanagingpeople.com, selectsoftwarereviews.com, thrivesparrow.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 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 4.5AssemblyAwardcoChangedBonusly, NectarBonuslyno first choicenothing named
Three alternatives
Bonusly, Motivosity, NectarThree alternatives
Bonusly, Connecteam, NectarTwo alternatives
Donut Shoutouts, MotivosityFour alternatives
Assembly, Guusto, Kudos, NectarGPT-5.4 miniBonuslyBonuslyHeldNectarBonuslyno first choicenothing named
Five alternatives
Assembly, Awardco, Connecteam, Guusto, NectarTwo alternatives
Awardco, GuustoSeven alternatives
Awardco, Bonusly, Connecteam, Guusto, Matter, Motivosity, RecognizeTwo alternatives
Connecteam, GuustoGemini 3.5 FlashBonuslyBonuslyHeldBonusly, MatterGuustoagainst: Motivosity, NectarMatteragainst: Achievers, O.C. Tanner Culture Cloud, Workhuman
Four alternatives
Assembly, Donut Shoutouts, Nectar, TeamflectThree alternatives
Awardco, Nectar, TeamflectThree alternatives
Assembly, Guusto, TeamflectThree alternatives
BRAVO, Bonusly, ConnecteamFour alternatives
Bonusly, Guusto, HeyTaco, NectarPerplexity SonarBonuslyBonuslyHeldBonuslyGuustono first choiceagainst: Achievers
Three alternatives
Guusto, Motivosity, NectarThree alternatives
Guusto, Motivosity, NectarFour alternatives
Assembly, Guusto, Mo, NectarOne alternative
NectarGrok 4.1 FastBonuslyBonuslyHeldagainst: AwardcoBonusly, Nectaragainst: Achievers, Awardco, Bucketlist Rewards, WorkhumanBonuslyAwardco, Bonusly, Bucketlist Rewardsagainst: Achievers, Awardco, Kudos, Nectar, Reward Gateway, SAP SuccessFactors, Workday Peakon
Five alternatives
Assembly, Awardco, Nectar, Reward Gateway, Vantage CircleTwo alternatives
Bucketlist Rewards, KudosFour alternatives
Assembly, Kudos, Matter, MotivosityFive alternatives
Assembly, Guusto, Kudos, Mo, NectarMistral SmallBonuslyBonusly, Reward GatewayChangedBonuslyBonusly, Nectarno first choiceagainst: Better Business Bureau, Clearview AI
Two alternatives
Mo, Reward GatewayOne alternative
QarrotFour alternatives
Awardco, Caroo, Engagedly, NectarTwo alternatives
Awardco, RecognizeDeepSeek V4 FlashBonuslyBonuslyHeldagainst: AwardcoBonusly, Motivosityagainst: KudosMatterno first choiceagainst: Awardcoagainst: Achievers, O.C. Tanner Culture Cloud, Reward Gateway
Three alternatives
Awardco, Nectar, QarrotTwo alternatives
Guusto, NectarThree alternatives
Guusto, Matter, NectarThree alternatives
Assembly, Bonusly, HeyTacoThree alternatives
Bonusly, Matter, NectarLlama 4 Maverickno first choiceno first choiceHeldNectarno first choiceno first choicenothing named
Two alternatives
Empuls, QarrotQwen 3.7 FlashBonuslyagainst: Kahuna, WorkhumanBonuslyHeldBonusly, GuustoMatteragainst: Awardcono first choiceagainst: Motivosityagainst: Achievers, Corporate Traditions, Motivosity, Nectar, Workhuman
Three alternatives
Matter, Nectar, QarrotThree alternatives
Donut Shoutouts, Kudos, Tango CardThree alternatives
Kudos, Nectar, WorkTangoOne alternative
BonuslyTwo alternatives
Bonusly, KudosKimi K2Bonuslyagainst: Achievers, Motivosity, WorkTangoBonuslyHeldBonusly, Matteragainst: MotivosityMatteragainst: Motivosity, Nectar, WorkhumanBonuslyagainst: Achievers, Awardco, Kudos, Nectar, WorkTango, Workhuman
Three alternatives
Kudos, Matter, NectarThree alternatives
Awardco, Mo, NectarThree alternatives
Guusto, Nectar, TeamflectThree alternatives
Bonusly, HeyTaco, Microsoft PraiseFive alternatives
Awardco, HeyTaco, Matter, Mo, NectarGLM 4.7 FlashXBonuslyNectarChangedAssembly, BonuslyBonuslyno first choiceagainst: Achievers, Awardco, Nectar
Four alternatives
Assembly, Kudos, Matter, NectarFour alternatives
Bonusly, Rewardian, ThriveSparrow Kudos, TremendousThree alternatives
Guusto, Nectar, QarrotThree alternatives
Assembly, BRAVO, NectarThree alternatives
Guusto, Kudoboard, MatterMiniMax M2.5Bonusly, NectarBonusly, NectarHeldBonuslyGuusto, Hey TacoGuustonothing named
Two alternatives
Awardco, MatterOne alternative
GuustoFour alternatives
Assembly, Kudos, Nectar, ThriveSparrow KudosThree alternatives
Bonusly, Kudos, ThriveSparrow KudosThree alternatives
Bonusly, Impulse, KudosGPT-6 LunaBonuslyagainst: MotivosityBonuslyHeldBonuslyagainst: MotivosityTeamToastno first choiceagainst: Motivosity, WorkTango, Workhuman
One alternative
NectarOne alternative
MotivosityThree alternatives
Assembly, HeyTaco, NectarTwo alternatives
BRAVO, MatterMuse Glimmer 30BBonuslyBonuslyHeldBonuslyagainst: Awardco, Empuls, MotivosityMatterno first choiceagainst: Achievers, Awardco, Motivosity
Two alternatives
Matter, NectarTwo alternatives
Nectar, Tango CardFour alternatives
Guusto, Matter, Nectar, Reward GatewayFour alternatives
Assembly, Bonusly, Guusto, MotivosityBold 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. Full answer text is in the free responses file. Download the record
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 | 2026-10-01 11:54 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:56 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:14 | yes | 13 | 53 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 07:51 | yes | 17 | 2 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:04 | yes | 20 | 14 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:34 | yes | 10 | 7 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:21 | yes | 23 | 31 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:06 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:49 | yes | 9 | 30 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:04 | yes | 9 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:57 | yes | 18 | 71 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:32 | yes | 15 | 37 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:41 | yes | 3 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:53 | yes | 17 | 27 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:40 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:01 | yes | 2 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:00 | yes | 9 | 22 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:18 | yes | 23 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:52 | yes | 21 | 11 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:03 | yes | 10 | 6 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:04 | yes | 24 | 27 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:22 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:06 | no | 0 | 33 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:10 | yes | 10 | 23 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:46 | yes | 22 | 120 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:45 | yes | 10 | 15 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:51 | yes | 2 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:46 | yes | 23 | 26 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:04 | yes | 15 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:39 | yes | 5 | 6 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:20 | yes | 21 | 27 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 07:47 | yes | 19 | 3 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:56 | yes | 21 | 11 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:02 | yes | 7 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:41 | yes | 23 | 34 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:32 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:13 | yes | 15 | 48 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:11 | yes | 20 | 38 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:57 | yes | 21 | 59 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:49 | yes | 10 | 26 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:38 | yes | 5 | 17 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:08 | yes | 23 | 39 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:37 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:07 | yes | 4 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:23 | yes | 22 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:17 | yes | 20 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:34 | yes | 20 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:48 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:43 | yes | 23 | 22 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:21 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:41 | yes | 14 | 55 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:45 | yes | 18 | 30 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:58 | yes | 15 | 16 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:43 | yes | 13 | 21 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:03 | yes | 3 | 11 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:39 | yes | 14 | 30 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:10 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:00 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:37 | yes | 10 | 24 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:48 | yes | 18 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:20 | yes | 14 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:45 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:53 | yes | 20 | 30 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:49 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:31 | yes | 9 | 30 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:27 | yes | 8 | 25 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:57 | yes | 14 | 22 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:03 | yes | 5 | 19 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:41 | yes | 3 | 14 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:23 | no | 0 | 4 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:52 | yes | 9 | 6 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:00 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:21 | yes | 19 | 21 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:51 | yes | 20 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:36 | yes | 17 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:32 | yes | 10 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:07 | yes | 22 | 29 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:35 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:59 | yes | 5 | 27 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:31 | yes | 15 | 26 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:22 | yes | 20 | 26 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:52 | yes | 10 | 24 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:04 | yes | 3 | 17 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:21 | yes | 12 | 36 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
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
ThriveSparrow (Kudos) read as ThriveSparrow Kudos
Unresolved, counted raw
Amazon Business Global
Amazon Business Integration
Better Business Bureau (BBB)
Corporate Traditions
Google Reviews
Hey Taco
Impulse
Microsoft Praise
Propsly
TeamToast
Workmates
Yelp
Discontinued, still offered
No shut-down product was recommended here.