Remote monitoring and management for enterprise buyers
Asked as “RMM platform”, and as “remote monitoring and management tool for managed service providers”, on behalf of an enterprise B2B company. 46 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
48%
Clear leader
48NinjaOne17Atera09ConnectWise Automate26others
48% of first choices, clear leader.
Since September 2026▼−8Since September 2026: 61% → 53%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.NinjaOne held the lead, −8 points on 61%, inside the 11-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
Atera45%Clear leader▲+16Since September 2026: 30% → 46%, +16 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-market
NinjaOne47%Clear leader▼−3Since September 2026: 50% → 47%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseNinjaOne48%Clear leader▼−8Since September 2026: 61% → 53%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
Atera45%Clear leader▲+16Since September 2026: 30% → 46%, +16 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-marketNinjaOne47%Clear leader▼−3Since September 2026: 50% → 47%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseNinjaOne48%Clear leader▼−8Since September 2026: 61% → 53%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01NinjaOne48%8%59endorsed leader▼−8Since September 2026: 61% → 53%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.61% → 53%
NinjaOne48%8%59endorsed leader▼−8Since September 2026: 61% → 53%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.61% → 53%02Atera17%26%42criticized challenger▼−3Since September 2026: 18% → 16%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.18% → 16%
Atera17%26%42criticized challenger▼−3Since September 2026: 18% → 16%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.18% → 16%03
N-able N-central9%19%31accepted challenger▲+5Since September 2026: 3% → 8%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.3% → 8%
N-able N-central9%19%31accepted challenger▲+5Since September 2026: 3% → 8%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.3% → 8%04
ConnectWise Automate9%33%36criticized challenger▲+8Since September 2026: 3% → 11%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.3% → 11%
ConnectWise Automate9%33%36criticized challenger▲+8Since September 2026: 3% → 11%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.3% → 11%05
Microsoft Intune9%21%14accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 5%
Microsoft Intune9%21%14accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 5%06
Datto RMM2%26%39criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Datto RMM2%26%39criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%07
ConnectWise RMM2%17%24accepted challenger▼−5Since September 2026: 8% → 3%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 3%
ConnectWise RMM2%17%24accepted challenger▼−5Since September 2026: 8% → 3%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 3%Show the three products at 0%, ordered by negative rate
10
Syncro0%37%19criticized challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 0%
Syncro0%37%19criticized challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 0%08
Kaseya VSA0%32%34criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Kaseya VSA0%32%34criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%09
SuperOps0%27%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
SuperOps0%27%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 11 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
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01020304050607080910Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01NinjaOne48%
NinjaOne48%02Atera17%
Atera17%03N-able N-central9%
N-able N-central9%04ConnectWise Automate9%
ConnectWise Automate9%05Microsoft Intune9%
Microsoft Intune9%06Datto RMM2%
Datto RMM2%07ConnectWise RMM2%
ConnectWise RMM2%08Kaseya VSA0%
Kaseya VSA0%09SuperOps0%
SuperOps0%10Syncro0%
Syncro0%What they warned about
Four of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Grok 4.1 Fast, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5, GPT-6 Luna 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.
Atera26%
11 of 42 labels negative · 10 of 14 models · 6 hard negative
“Criticized for per-technician pricing that may not scale well for large organizations, and lacks depth in reporting and advanced enterprise features.” Mistral Small, negative prompt
ConnectWise Automate33%
12 of 36 labels negative · 10 of 14 models · 3 hard negative
“Minimal ongoing development... not ideal for modern enterprise needs.” Grok 4.1 Fast, negative prompt
Kaseya VSA32%
11 of 34 labels negative · 9 of 14 models · 5 hard negative
“Historic breach: July 2021 REvil ransomware attack impacted 1,000+ customers through supply chain compromise” Kimi K2, negative prompt
Datto RMM26%
10 of 39 labels negative · 8 of 14 models · 3 hard negative
“## Platform to Avoid for This Use Case **N-able N-central** and **Datto RMM** are capable but work on **quote-only pricing**” DeepSeek V4 Flash, budget 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. 1228 links across 250 sites, every framing counted. Ranked by the number of answers carrying the site or page. 31 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 · NinjaOne43 answers · 100 citations · 13 models
vendor site · G243 answers · 52 citations · 12 models
vendor site · Atera32 answers · 36 citations · 12 models
vendor site · ConnectWise31 answers · 50 citations · 11 models
31 answers · 37 citations · 11 models
23 answers · 23 citations · 9 models
23 answers · 23 citations · 10 models
23 answers · 23 citations · 10 models
21 answers · 21 citations · 8 models
20 answers · 22 citations · 10 models
19 answers · 26 citations · 10 models
vendor site · SuperOps19 answers · 21 citations · 11 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.
33 answers · 12 models
23 answers · 8 models
23 answers · 9 models
23 answers · 10 models
20 answers · 8 models
20 answers · 9 models
19 answers · 10 models
17 answers · 9 models
17 answers · 8 models
15 answers · 7 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 rmm platform”, “rmm platform”, “rmm 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 |
|---|---|---|---|---|---|---|---|---|
| NinjaOne ninjaone.com | 48% | 388 | 18,100 | 610 | 316,268 | $17,226 | 118 | 7 |
| Atera atera.com | 17% | 341 | 18,100 | 260 | 87,774 | 120 | ||
| ConnectWise RMM connectwise.com ConnectWise Automate 9%, ConnectWise RMM 2% | 11% | 71 | 720 | 37 | 117,593 | $840 | 120 | 4 |
| N-able n-able.com N-able N-central 9%, N-able N-sight 0% | 9% | 62 | 4,400 | 296 | 46,175 company | $16,177 | 84 | |
| Microsoft parent site Microsoft Intune 9% | 9% | 329 | 2,240,000 | 403,136 | ||||
| Datto datto.com Datto RMM 2% | 2% | 123 | 9,900 | 805 | 35,477 company | $16 | 37 | 2 |
| Tanium tanium.com | 2% | 30 | 14,800 | 759 | 28,789 | $707 | 31 | |
| ManageEngine parent site ManageEngine Endpoint Central 2%, ManageEngine OpManager MSP 0%, ManageEngine RMM Central 0% | 2% | 204 | 8,100 | 675 | ||||
| Kaseya kaseya.com Kaseya VSA 0% | 0% | 100 | 18,100 | 1,701 | 38,107 company | 21 | ||
| Acronis Cyber Protect acronis.com | 0% | 129 | 880 | 23 | 166,260 | 42 | 4 |
Google's top ten for the three searches hold 24 sites; 5 of them are among the sites the models cited here (connectwise.com, learn.g2.com, ninjaone.com, superops.com, syncrosecure.com). The first result for “best rmm platform” is syncrosecure.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 RMM platform for an enterprise B2B company?”Paraphrase“Which remote monitoring and management tool for managed service providers would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade RMM platforms and how do they differ?”Budget-constrained“What is the best RMM platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a RMM platform. What should we look at?”Negative“Which RMM platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceConnectWise AutomateChangedNinjaOneAterano first choiceagainst: ConnectWise Automate, Datto RMM, N-able
Four alternatives
Atera, Datto RMM, N-able N-sight, NinjaOneSix alternatives
Acronis Cyber Protect, Atera, ConnectWise Automate, Datto RMM, N-able N-sight, SyncroTwo alternatives
SuperOps, SyncroGPT-5.4 miniMicrosoft IntuneN-able N-centralChangedN-able N-centralagainst: ManageEngine Endpoint Central, Microsoft IntuneManageEngine Endpoint Centralagainst: N-able N-sightno first choiceagainst: ConnectWise Automate, ConnectWise RMM, ConnectWise ScreenConnect, Kaseya VSA
Four alternatives
Datto RMM, ManageEngine Endpoint Central, N-able N-central, NinjaOneOne alternative
ConnectWise RMMFour alternatives
ConnectWise Automate, ConnectWise RMM, Datto RMM, Kaseya VSAOne alternative
MSP360 RMMGemini 3.5 FlashNinjaOneNinjaOneHeldagainst: ConnectWise AutomateNinjaOneAteraTaniumagainst: HCL BigFix, Ivantiagainst: AnyDesk, Atera, ConnectWise Automate, Kaseya VSA, Syncro, TeamViewer
Five alternatives
ConnectWise Automate, ManageEngine Endpoint Central, Microsoft Intune, N-able N-central, TaniumTwo alternatives
ManageEngine Endpoint Central, N-able N-centralFour alternatives
ConnectWise RMM, Kaseya VSA, ManageEngine Endpoint Central, N-able N-centralTwo alternatives
NinjaOne, SyncroThree alternatives
Action1, Automox, NinjaOnePerplexity SonarNinjaOneNinjaOneHeldNinjaOneAteraagainst: Acronis, ConnectWise RMM, Datto RMM, N-able N-centralno first choiceagainst: Atera, ConnectWise RMM, ConnectWise ScreenConnect, NinjaOne, Splashtop, SuperOps, TeamViewer
Four alternatives
Acronis Cyber Protect, Atera, ConnectWise RMM, N-ableFour alternatives
ConnectWise RMM, Kaseya VSA, ManageEngine OpManager MSP, TeamViewerSix alternatives
Acronis Cyber Protect, Action1, ConnectWise RMM, Datto RMM, Kaseya VSA, LogMeIn ResolveOne alternative
NinjaOneGrok 4.1 FastConnectWise RMM, NinjaOneagainst: Datto RMM, Kaseya VSA, N-able N-centralNinjaOneChangedagainst: Datto RMMno first choiceagainst: Microsoft Intune, SyncroNinjaOneagainst: Atera, Pulseway, SuperOps, SyncroNinjaOneagainst: Atera, ConnectWise Automate, Itarian, Syncro
Three alternatives
ConnectWise RMM, Kaseya VSA, N-able N-centralFour alternatives
ConnectWise Automate, Datto RMM, Kaseya VSA, N-able N-centralFour alternatives
Atera, ConnectWise Automate, Kaseya VSA, SuperOpsMistral SmallConnectWise Automateno first choiceChangedNinjaOneNinjaOneagainst: ConnectWise Automate, Datto RMM, N-able N-centralno first choiceagainst: Atera, ConnectWise Automate, Syncro, TeamViewer
Two alternatives
Atera, N-able N-centralThree alternatives
Atera, ConnectWise Automate, Datto RMMDeepSeek V4 FlashNinjaOneNinjaOneHeldDatto RMM, NinjaOneNinjaOneagainst: Datto RMM, N-able N-centralno first choiceagainst: Atera, ConnectWise ScreenConnect, Kaseya VSA, Splashtop
Two alternatives
ConnectWise RMM, Datto RMMTwo alternatives
ConnectWise RMM, N-able N-centralFour alternatives
ConnectWise Automate, Kaseya VSA, ManageEngine RMM Central, N-able N-centralOne alternative
AteraLlama 4 Maverickno first choiceNinjaOneChangedno first choiceno first choiceAteraagainst: Atera, ConnectWise Automate, Syncro, TeamViewer
Two alternatives
Atera, DomotzQwen 3.7 FlashNinjaOneConnectWise AutomateChangedNinjaOneNinjaOneno first choiceagainst: Action1, Atera, ConnectWise Automate, Datto RMM, Kaseya VSA, NinjaOne
Four alternatives
ConnectWise Automate, Datto RMM, Ivanti, Microsoft IntuneTwo alternatives
Kaseya VSA, TaniumThree alternatives
Atera, ConnectWise Automate, Datto RMMTwo alternatives
ConnectWise Automate, Kaseya VSAKimi K2NinjaOneConnectWise Automate, N-able N-centralChangedNinjaOneMicrosoft Intuneagainst: CrowdStrike Falcon, Datto RMM, N-able, NinjaOne, SolarWindsNinjaOneagainst: Microsoft Intune, SCCMagainst: Atera, BeyondTrust Remote Support, ConnectWise RMM, Datto RMM, Kaseya VSA, NinjaOne, SimpleHelp
Two alternatives
ConnectWise RMM, Datto RMMThree alternatives
Datto RMM, Kaseya VSA, NinjaOneFour alternatives
ConnectWise Automate, Datto RMM, Kaseya VSA, N-able N-centralTwo alternatives
Atera, SyncroThree alternatives
ConnectWise Automate, Datto RMM, N-able N-centralGLM 4.7 FlashXNinjaOneNinjaOneHeldno first choiceAteraagainst: Datto RMM, Kaseya VSA, N-ableno first choiceagainst: ConnectWise Automate, Kaseya VSA, N-able N-central
Three alternatives
Atera, ConnectWise RMM, Datto RMMFour alternatives
Atera, ConnectWise Automate, Kaseya VSA, SuperOpsFour alternatives
ConnectWise Automate, Datto RMM, N-able, NinjaOneTwo alternatives
Rodex RMM, SuperOpsMiniMax M2.5no first choiceN-able N-central, NinjaOneChangedNinjaOneAterano first choiceagainst: Atera, ConnectWise Automate, ConnectWise ScreenConnect, MSP360 RMM, Syncro
Two alternatives
Acronis Cyber Protect, AteraFour alternatives
Atera, ConnectWise Automate, Datto RMM, N-ableTwo alternatives
NinjaOne, SyncroGPT-6 LunaMicrosoft Intune, NinjaOneN-able N-centralChangedConnectWise Automate, N-able N-centralAteraMicrosoft Intuneagainst: Automate, ConnectWise ScreenConnect, Kaseya VSA, N-able N-central
Two alternatives
ConnectWise RMM, N-able N-centralTwo alternatives
Microsoft Intune, NinjaOneSix alternatives
Datto RMM, HCL BigFix, Kaseya VSA, ManageEngine Endpoint Central, NinjaOne, TaniumOne alternative
NinjaOneTwo alternatives
NinjaOne, TaniumMuse Glimmer 30BDatto RMMNinjaOneChangedConnectWise RMM, N-able N-centralagainst: Atera, Kaseya VSAAteraagainst: ConnectWise Automate, NinjaOne, SuperOpsno first choiceagainst: BeyondTrust Remote Support SaaS, ConnectWise ScreenConnect, Kaseya VSA, SimpleHelp
Two alternatives
ConnectWise Automate, NinjaOneTwo alternatives
ConnectWise Automate, N-able N-centralOne alternative
NinjaOneTwo alternatives
GoRelo, SyncroBold 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 08:22 | no | 0 | 4 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:23 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:24 | yes | 19 | 26 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:23 | yes | 18 | 2 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:11 | yes | 23 | 7 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:40 | yes | 15 | 10 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:56 | yes | 22 | 33 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:05 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:06 | yes | 9 | 40 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:01 | yes | 22 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:09 | yes | 16 | 185 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:52 | yes | 5 | 15 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:39 | yes | 4 | 22 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:49 | yes | 23 | 22 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:19 | yes | 18 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:05 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:53 | yes | 12 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 12:51 | yes | 19 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:16 | yes | 22 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:32 | no | 0 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:14 | yes | 25 | 44 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:56 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:00 | yes | 5 | 63 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:27 | yes | 24 | 29 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:27 | yes | 24 | 31 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:34 | yes | 10 | 51 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:23 | yes | 3 | 15 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:15 | yes | 15 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:21 | yes | 10 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:25 | yes | 16 | 14 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:39 | yes | 29 | 35 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:41 | yes | 14 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:40 | yes | 23 | 12 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:50 | yes | 11 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:03 | yes | 24 | 37 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:15 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:12 | yes | 14 | 65 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:01 | yes | 18 | 25 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:42 | yes | 22 | 69 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:23 | yes | 12 | 31 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:50 | yes | 7 | 29 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:46 | yes | 25 | 40 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:42 | yes | 9 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:53 | yes | 4 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:15 | yes | 21 | 30 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 10:18 | yes | 21 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:26 | yes | 23 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:06 | yes | 25 | 7 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:32 | yes | 25 | 30 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:08 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:26 | yes | 20 | 34 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:03 | yes | 23 | 41 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:30 | yes | 23 | 82 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:49 | yes | 22 | 47 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:07 | yes | 3 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:02 | yes | 19 | 27 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:24 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:49 | yes | 3 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:59 | yes | 9 | 38 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:25 | yes | 19 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:58 | yes | 18 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:30 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:35 | yes | 25 | 50 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:01 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:59 | no | 0 | 32 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:24 | yes | 18 | 34 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:27 | yes | 24 | 42 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:16 | yes | 9 | 15 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:03 | yes | 4 | 28 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:56 | yes | 13 | 34 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:58 | yes | 17 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:16 | yes | 4 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:30 | yes | 25 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:58 | yes | 21 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:49 | yes | 24 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:22 | yes | 5 | 3 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:08 | yes | 25 | 36 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:01 | yes | 5 | 1 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:03 | yes | 25 | 26 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:07 | yes | 25 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:37 | yes | 25 | 43 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:27 | yes | 12 | 28 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:04 | yes | 3 | 25 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:54 | yes | 23 | 33 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
ConnectWise read as ConnectWise RMM
ConnectWise (ScreenConnect) read as ConnectWise RMM
ConnectWise Automate / ConnectWise RMM read as ConnectWise RMM
Datto read as Datto RMM
Kaseya read as Kaseya VSA
Kaseya (Datto RMM & VSA 10) read as Kaseya VSA
MSP360 read as MSP360 RMM
Unresolved, counted raw
Automate
BeyondTrust Remote Support SaaS
ConnectWise Asio
Rodex RMM
Discontinued, still offered
No shut-down product was recommended here.