Index › Onboarding and employee experience › Frontline employee apps › Small business › October 2026 Edition
Frontline employee apps for small business buyers
Asked as “frontline employee communication app”, and as “deskless workforce app”, on behalf of a small B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
79%
Clear leader
79Connecteam08Blink06Microsoft 365 for Frontline Workers08others
79% of first choices, clear leader.
Since September 2026▼−7Since September 2026: 85% → 78%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Connecteam held the lead, −7 points on 85%, 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
Connecteam79%Clear leader▼−7Since September 2026: 85% → 78%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageMid-marketConnecteam49%Clear leader▼−8Since September 2026: 56% → 48%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Staffbase35%Contested▲+4Since September 2026: 32% → 36%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →
Connecteam79%Clear leader▼−7Since September 2026: 85% → 78%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageMid-marketConnecteam49%Clear leader▼−8Since September 2026: 56% → 48%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseStaffbase35%Contested▲+4Since September 2026: 32% → 36%, +4 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
01Connecteam79%6%72endorsed leader▼−7Since September 2026: 85% → 78%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.85% → 78%
Connecteam79%6%72endorsed leader▼−7Since September 2026: 85% → 78%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.85% → 78%02
Blink8%10%39accepted challenger▲+4Since September 2026: 5% → 9%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 9%
Blink8%10%39accepted challenger▲+4Since September 2026: 5% → 9%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 9%03
Microsoft 365 for Frontline Workers6%58%24criticized challenger▲+7Since September 2026: 0% → 7%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 7%
Microsoft 365 for Frontline Workers6%58%24criticized challenger▲+7Since September 2026: 0% → 7%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 7%04
Homebase4%0%19accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Homebase4%0%19accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%Show the six products at 0%, ordered by negative rate
09
WhatsApp Lab in the set0%85%13criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
WhatsApp Lab in the set0%85%13criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%10
Slack0%75%24criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Slack0%75%24criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%08Staffbase0%64%22criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Staffbase0%64%22criticized 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
Beekeeper0%35%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Beekeeper0%35%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%06
Deputy0%9%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Deputy0%9%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%05
When I Work0%7%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
When I Work0%7%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.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 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.
WhatsApp is made by Meta, whose model Llama 4 Maverick and Muse Glimmer 30B is in the set. On the four share prompts that model made it the first choice zero times of 8; the other twelve models zero times of 48. Lab treatment is defined on the method page; the row is marked, not excluded.
All fifteen head-to-head pages: the top six products, each against each
Connecteam vs MangoAppsConnecteam vs Microsoft 365 for Frontline WorkersBlink vs BeekeeperBlink vs StaffbaseBlink vs MangoAppsBlink vs Microsoft 365 for Frontline WorkersBeekeeper vs StaffbaseBeekeeper vs MangoAppsBeekeeper vs Microsoft 365 for Frontline WorkersStaffbase vs MangoAppsStaffbase vs Microsoft 365 for Frontline WorkersMangoApps vs Microsoft 365 for Frontline Workers
One product takes 79% 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. Five products carry a negative rate above 25% in this category.
What they warned about
Ten of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Mistral Small, Qwen 3.7 Flash 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.
Slack75%
18 of 24 labels negative · 11 of 14 models · 11 hard negative
“Why not Slack or MS Teams? Aside from the corporate email requirement, these apps are optimized for desktop "threads"... They lack shift scheduling” Gemini 3.5 Flash, scale prompt
Microsoft 365 for Frontline Workers58%
14 of 24 labels negative · 11 of 14 models · 8 hard negative
“Why not Slack or MS Teams? Aside from the corporate email requirement... tend to overwhelm frontline workers with a flood of unread notifications.” Gemini 3.5 Flash, scale prompt
WhatsApp85%
11 of 13 labels negative · 10 of 14 models · 10 hard negative
“Microsoft Teams, Slack, Staffbase, and WhatsApp are some of the apps that have received negative reviews or have been warned against” Llama 4 Maverick, negative prompt
Staffbase64%
14 of 22 labels negative · 10 of 14 models · 6 hard negative
“Microsoft Teams, Slack, Staffbase, and WhatsApp are some of the apps that have received negative reviews or have been warned against” Llama 4 Maverick, negative 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
80 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. 1018 links across 209 sites, every framing counted. Ranked by the number of answers carrying the site or page. 67 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.
48 answers · 90 citations · 13 models
vendor site · MangoApps39 answers · 59 citations · 11 models
vendor site · Guideflow31 answers · 43 citations · 11 models
vendor site · Staffbase28 answers · 35 citations · 10 models
vendor site · FirstHR28 answers · 31 citations · 8 models
vendor site · Oak27 answers · 27 citations · 12 models
vendor site · Connecteam24 answers · 40 citations · 9 models
vendor site · G222 answers · 36 citations · 10 models
21 answers · 22 citations · 11 models
vendor site · Pebb20 answers · 25 citations · 8 models
17 answers · 30 citations · 10 models
17 answers · 18 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.
32 answers · 11 models
28 answers · 10 models
27 answers · 12 models
25 answers · 8 models
25 answers · 10 models
22 answers · 11 models
20 answers · 11 models
16 answers · 9 models
15 answers · 9 models
15 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 frontline employee communication app”, “frontline apps”, “frontline employee communication app”. 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 |
|---|---|---|---|---|---|---|---|---|
| Connecteam connecteam.com | 79% | 573 | 49,500 | 288 | 312,449 | $13,504 | 120 | 2 |
| Blink joinblink.com | 8% | 164 | 201,000 | 96,479 | 17,400 | 4 | 8 | |
| Microsoft 365 for frontline microsoft.com Microsoft 365 for Frontline Workers 6% | 6% | 66 | 90 | 7 | 145,358,109 | $12,455 | 103 | |
| Homebase joinhomebase.com | 4% | 404 | 201,000 | 3,839 | 472,253 | $793 | 120 | |
| Pebb pebb.io | 4% | 16 | 5,400 | 293 | 7,720 | 0 | ||
| When I Work wheniwork.com | 0% | 240 | 110,000 | 5,608 | 218,244 | $20 | 34 | |
| Deputy deputy.com | 0% | 256 | 40,500 | 17,000 | 45,127 | $3,222 | 32 | |
| Pumble pumble.com | 0% | 10 | ||||||
| Sling getsling.com | 0% | 82 | 368,000 | 51,638 | 363,426 | |||
| 7shifts 7shifts.com | 0% | 67 | 60,500 | 220 | 152,968 | $246 | 69 |
Google's top ten for the three searches hold 22 sites; 3 of them are among the sites the models cited here (connecteam.com, firsthr.app, joinblink.com). The first result for “best frontline employee communication app” is peoplemanagingpeople.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 frontline employee communication app for a small B2B company?”Paraphrase“Which deskless workforce app would you recommend to a small business that sells to other businesses?”Comparative“What are the top frontline apps for a small team and how do they differ?”Budget-constrained“What is the best frontline employee communication app for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a frontline employee communication app. What should we look at?”Negative“Which frontline apps should a small business avoid or be cautious about?”
Claude Haiku 4.5ConnecteamConnecteamHeldConnecteamConnecteam, Microsoft 365 for Frontline Workersno first choiceagainst: Connecteam, Deputy, LumApps, Sling, When I Work, WorkJam
Two alternatives
RedeApp, Troop MessengerTwo alternatives
Deputy, SkeduloFour alternatives
Beekeeper, Blink, Pebb, SC TrainingTwo alternatives
Blink, PumbleGPT-5.4 miniConnecteamMicrosoft 365 for Frontline WorkersChangedConnecteamMicrosoft 365 for Frontline Workersno first choiceagainst: Frontline Education
Three alternatives
Blink, Workvivo, goHappyOne alternative
Sage Workforce ManagementTwo alternatives
Deputy, When I WorkOne alternative
ConnecteamGemini 3.5 FlashConnecteamagainst: Beekeeper, Blink, Firstup, Slack, Staffbase, Workplace from MetaConnecteamHeldConnecteamagainst: SlackConnecteamagainst: SlackConnecteamagainst: Beekeeper, Firstup, Microsoft 365 for Frontline Workers, Slack, Staffbase, WhatsAppagainst: Facebook Messenger, Microsoft 365, Staffbase, Standard Slack, WhatsApp, WorkJam, YOOBIC, iMessage
Two alternatives
Microsoft 365 for Frontline Workers, UdextThree alternatives
Badger Maps, Jobber, SimplyDepoFour alternatives
Deputy, Homebase, When I Work, ZelloFour alternatives
BAND, Homebase, Pumble, SlingFour alternatives
7shifts, Homebase, RedeApp, SlingPerplexity SonarConnecteamConnecteamHeldConnecteamagainst: RockConnecteamno first choiceagainst: Facebook Messenger, Microsoft 365 for Frontline Workers, Signal, Slack, Staffbase, Telegram, WhatsApp, iMessage
Two alternatives
Blink, StaffbaseThree alternatives
MangoApps, Workforce.com, Zoho PeopleFour alternatives
Blink, MangoApps, Staffbase, ZelosTwo alternatives
Slack, WhatsAppGrok 4.1 FastConnecteamagainst: Microsoft 365 for Frontline Workers, SlackConnecteamHeldConnecteam, Homebaseagainst: 7shifts, UKG ProHomebaseagainst: DiscordConnecteamagainst: Frontline Education, Microsoft 365 for Frontline Workers, Signal, Slack, Staffbase, Telegram, WhatsApp
Two alternatives
Beekeeper, BlinkOne alternative
JobberTwo alternatives
Deputy, When I WorkFour alternatives
Connecteam, Pebblo, Pumble, SlackTwo alternatives
Blink, HubEngageMistral SmallConnecteamno first choiceChangedConnecteamConnecteamno first choiceagainst: Connecteam, Slack
Two alternatives
Konverse, ZelloDeepSeek V4 FlashConnecteamagainst: Beekeeper, BlinkConnecteamHeldConnecteamagainst: BeekeeperConnecteamBlink, Connecteamagainst: Staffbaseagainst: Connecteam, Facebook Messenger, Microsoft 365 for Frontline Workers, Signal, Slack, Staffbase, Telegram, WhatsApp, Workvivo
One alternative
FlipTwo alternatives
Jobber, SlingThree alternatives
Blink, Microsoft 365 for Frontline Workers, ZelloTwo alternatives
Blink, PumbleOne alternative
Microsoft 365 for Frontline WorkersLlama 4 MaverickConnecteamConnecteamHeldConnecteamConnecteamno first choiceagainst: Microsoft 365 for Frontline Workers, Slack, Staffbase, WhatsApp
Two alternatives
Blink, PebbQwen 3.7 FlashBlink, Connecteamagainst: SlackConnecteamChangedConnecteam, Homebaseagainst: StaffbaseConnecteamagainst: Microsoft 365 for Frontline Workers, Slack, Staffbase, WorkvivoConnecteamagainst: Microsoft 365 for Frontline Workers, Oracle HCM Cloud, SAP SuccessFactors, Slack, WhatsApp, Workday, Zoom, iMessage
One alternative
DeputyTwo alternatives
Deputy, When I WorkOne alternative
BlinkTwo alternatives
Blink, ShiftbaseKimi K2ConnecteamConnecteamHeldConnecteamConnecteamagainst: FlipBlink, Connecteamagainst: Crew, Discord, Microsoft 365 for Frontline Workers, Slack, Staffbase, WhatsApp
Two alternatives
Beekeeper, BlinkFive alternatives
Homebase, MobiWork, Skedulo, Spotio, When I WorkTwo alternatives
Homebase, PebbTwo alternatives
Homebase, SlingOne alternative
PumbleGLM 4.7 FlashXBlink, Connecteamagainst: MangoAppsConnecteamChangedBlink, ConnecteamPebbagainst: Microsoft 365 for Frontline Workers, Slackno first choiceagainst: Beekeeper, Blink, Connecteam, Dayforce, Firstup, MangoApps, Microsoft 365 for Frontline Workers, Oracle HCM Cloud, RedeApp, SAP SuccessFactors, Signal, Slack, Staffbase, Telegram, UKG Pro, WhatsApp, WorkJam, Workforce.com
Two alternatives
Beekeeper, WorkvivoTwo alternatives
Delta Sales App, ForceManagerSix alternatives
Beekeeper, Housecall Pro, Jobber, MangoApps, Pebb, ZelloFive alternatives
Blink, Connecteam, Pumble, Shifton, YourcoMiniMax M2.5ConnecteamConnecteamHeldConnecteamPebbConnecteamagainst: Blinkagainst: Microsoft 365 for Frontline Workers, Slack, Staffbase, WhatsApp
One alternative
BlinkTwo alternatives
Arrivy, InfraspeakFour alternatives
Blink, Homebase, MangoApps, Microsoft 365 for Frontline WorkersTwo alternatives
Blink, ConnecteamOne alternative
RedeAppGPT-6 LunaConnecteamagainst: Microsoft 365 for Frontline WorkersConnecteamHeldConnecteamHomebaseno first choicenothing named
One alternative
BlinkOne alternative
When I WorkFive alternatives
7shifts, Deputy, Homebase, Sling, When I WorkOne alternative
ConnecteamMuse Glimmer 30BConnecteamConnecteamHeldConnecteam, HomebaseConnecteamConnecteamagainst: Beekeeper, Facebook Messenger, Microsoft 365 for Frontline Workers, Signal, Slack, Staffbase, Telegram, WhatsApp, iMessage
Two alternatives
Beekeeper, BlinkOne alternative
BlinkFour alternatives
Beekeeper, Deputy, When I Work, WorkJamTwo alternatives
Blink, PebbThree alternatives
Beekeeper, Blink, HomebaseBold 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 09:03 | yes | 17 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:38 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:09 | yes | 15 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 11:41 | yes | 18 | 5 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:35 | yes | 25 | 12 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:07 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:48 | yes | 22 | 22 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:46 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:46 | yes | 11 | 40 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:46 | yes | 14 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:46 | yes | 16 | 27 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:27 | yes | 12 | 25 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:49 | yes | 3 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:15 | yes | 13 | 31 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:41 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:53 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:36 | yes | 13 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:51 | yes | 19 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:24 | yes | 21 | 10 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:11 | no | 0 | 1 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:27 | yes | 21 | 27 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:06 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:28 | yes | 5 | 43 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:31 | yes | 25 | 26 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:10 | yes | 25 | 177 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:38 | yes | 13 | 38 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:57 | yes | 2 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:14 | yes | 14 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:05 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:45 | yes | 5 | 7 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:39 | yes | 16 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:28 | yes | 16 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:42 | yes | 25 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:00 | yes | 10 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:01 | yes | 23 | 55 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:54 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:08 | yes | 10 | 28 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:47 | yes | 20 | 32 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:40 | yes | 22 | 19 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:51 | yes | 8 | 26 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:26 | yes | 6 | 18 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:10 | yes | 14 | 21 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:24 | yes | 9 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:21 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:16 | yes | 19 | 55 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:06 | yes | 18 | 5 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:16 | yes | 25 | 6 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:25 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:19 | yes | 24 | 27 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:07 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:19 | yes | 9 | 19 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:31 | yes | 15 | 19 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:57 | yes | 13 | 35 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:35 | yes | 5 | 14 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:15 | yes | 2 | 14 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:02 | yes | 11 | 29 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:35 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:28 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:15 | yes | 11 | 52 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:45 | yes | 20 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:43 | yes | 15 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:38 | no | 0 | 5 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:43 | yes | 21 | 48 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:18 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:42 | yes | 5 | 27 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:28 | yes | 13 | 16 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:50 | yes | 10 | 19 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:09 | yes | 9 | 25 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:28 | yes | 1 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:28 | yes | 12 | 29 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:20 | yes | 19 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:09 | yes | 4 | 4 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:17 | yes | 24 | 28 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:44 | yes | 20 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:19 | yes | 20 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:36 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:44 | yes | 24 | 34 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:30 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:59 | yes | 10 | 45 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:18 | yes | 19 | 17 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:47 | yes | 13 | 68 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:59 | yes | 13 | 24 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:47 | yes | 2 | 31 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:46 | yes | 10 | 27 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
Microsoft Teams read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline F1) read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline) read as Microsoft 365 for Frontline Workers
Microsoft Teams Frontline read as Microsoft 365 for Frontline Workers
Microsoft Teams for Frontline Workers read as Microsoft 365 for Frontline Workers
Teams read as Microsoft 365 for Frontline Workers
Unresolved, counted raw
BAND
Badger Maps
BigChange
Delta Sales App
Eko
FieldPie
FieldPulse
ForceManager (Sage Sales Management)
GeoOp
Infraspeak
Konverse
MainEvent
OnePageCRM
Operandio
OurPeople
Pebb.io
Pebblo
Power Apps
Repsly
Sage Workforce Management
SimplyDepo
Spotio
Standard Slack
Udext
Veloxy
iTacit
Discontinued, still offered
No shut-down product was recommended here.