Incident management and on-call for enterprise buyers
Asked as “incident management platform”, and as “on-call scheduling and alerting tool”, on behalf of an enterprise B2B company. 51 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
53%
Clear leader
53PagerDuty18incident.io08AlertOps22others
53% of first choices, clear leader.
Since October 2026▼−4Since October 2026: 57% → 53%, −4 points. Inside the 11-point floor: within noise.PagerDuty held the lead, −4 points on 57%, 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
incident.io39%Contested▲+4Since October 2026: 35% → 39%, +4 points. Inside the 11-point floor: within noise.Standing →Mid-marketincident.io47%Clear leader▲+15Since October 2026: 32% → 47%, +15 points. Past the 11-point floor: movement.Standing →Enterprise
PagerDuty53%Clear leader▼−4Since October 2026: 57% → 53%, −4 points. Inside the 11-point floor: within noise.This page
incident.io39%Contested▲+4Since October 2026: 35% → 39%, +4 points. Inside the 11-point floor: within noise.Standing →Mid-marketincident.io47%Clear leader▲+15Since October 2026: 32% → 47%, +15 points. Past the 11-point floor: movement.Standing →EnterprisePagerDuty53%Clear leader▼−4Since October 2026: 57% → 53%, −4 points. Inside the 11-point floor: within noise.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 October 2026
01PagerDuty53%26%78criticized default▼−4Since October 2026: 57% → 53%, −4 points. Inside the 11-point floor: within noise.57% → 53%
PagerDuty53%26%78criticized default▼−4Since October 2026: 57% → 53%, −4 points. Inside the 11-point floor: within noise.57% → 53%02incident.io18%12%58accepted challenger=heldSince October 2026: 18% → 18%, ±0 points. Inside the 11-point floor: within noise.18% → 18%
incident.io18%12%58accepted challenger=heldSince October 2026: 18% → 18%, ±0 points. Inside the 11-point floor: within noise.18% → 18%03
AlertOps8%5%20accepted challenger▲+8Since October 2026: 0% → 8%, +8 points. Inside the 11-point floor: within noise.0% → 8%
AlertOps8%5%20accepted challenger▲+8Since October 2026: 0% → 8%, +8 points. Inside the 11-point floor: within noise.0% → 8%04
Rootly4%8%36accepted challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise.0% → 4%
Rootly4%8%36accepted challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise.0% → 4%05
ServiceNow ITSM4%20%41accepted challenger▼−4Since October 2026: 8% → 4%, −4 points. Inside the 11-point floor: within noise.8% → 4%
ServiceNow ITSM4%20%41accepted challenger▼−4Since October 2026: 8% → 4%, −4 points. Inside the 11-point floor: within noise.8% → 4%06
Jira Service Management2%14%42accepted challenger▼−6Since October 2026: 8% → 2%, −6 points. Inside the 11-point floor: within noise.8% → 2%
Jira Service Management2%14%42accepted challenger▼−6Since October 2026: 8% → 2%, −6 points. Inside the 11-point floor: within noise.8% → 2%07
xMatters2%12%33accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
xMatters2%12%33accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%08
FireHydrant2%11%19accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
FireHydrant2%11%19accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%Show the four products at 0%, ordered by negative rate
12
Opsgenie0%64%47criticized challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%
Opsgenie0%64%47criticized challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%11
Splunk On-Call0%33%15criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
Splunk On-Call0%33%15criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%10Datadog Incident Response0%18%11accepted challengernewNew since October 2026: not ranked then, 0% now.
09
Grafana IRM0%8%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Grafana IRM0%8%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.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 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.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
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 →
010203040506070809D10
1112Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative70%
Key
01PagerDuty53%
PagerDuty53%02incident.io18%
incident.io18%03AlertOps8%
AlertOps8%04Rootly4%
Rootly4%05ServiceNow ITSM4%
ServiceNow ITSM4%06Jira Service Management2%
Jira Service Management2%07xMatters2%
xMatters2%08FireHydrant2%
FireHydrant2%09Grafana IRM0%
Grafana IRM0%10Datadog Incident Response0%
11Splunk On-Call0%
Splunk On-Call0%12Opsgenie0%
Opsgenie0%What they warned about
Eight of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Grok 4.20, DeepSeek V4 Flash, Llama 4 Maverick and GPT-6 Luna 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.
Opsgenie64%
30 of 47 labels negative · 13 of 14 models · 23 hard negative
“Atlassian announced the Opsgenie sunset with End of Sale effective June 4, 2025... Large enterprises currently using Opsgenie need to plan migration strategies now.” Claude Haiku 4.5, negative prompt
PagerDuty26%
20 of 78 labels negative · 13 of 14 models · 1 hard negative
“Platforms to Avoid for Predictable Costs ... PagerDuty is established but expensive at scale” Claude Haiku 4.5, budget prompt
ServiceNow ITSM20%
8 of 41 labels negative · 7 of 14 models · 2 hard negative
“Avoid for this use case: ServiceNow, despite being the most powerful enterprise ITSM suite, is the least predictable in terms of total cost” DeepSeek V4 Flash, budget prompt
Jira Service Management14%
6 of 42 labels negative · 6 of 14 models · 1 hard negative
“many analysts say “JSM isn’t incident management.”” GLM 4.7 FlashX, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
76 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 906 links across 178 sites, every framing counted. Ranked by the number of answers carrying the site or page. 23 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 · incident.io52 answers · 196 citations · 13 models
vendor site · Rootly39 answers · 64 citations · 14 models
vendor site · AlertOps34 answers · 40 citations · 11 models
vendor site · PagerDuty30 answers · 56 citations · 12 models
vendor site · Atlassian20 answers · 22 citations · 10 models
vendor site · G217 answers · 25 citations · 9 models
vendor site · Motadata17 answers · 17 citations · 9 models
vendor site · All Quiet15 answers · 16 citations · 9 models
vendor site · OnPage14 answers · 22 citations · 8 models
vendor site · Guideflow11 answers · 17 citations · 8 models
vendor site · ITOC36010 answers · 10 citations · 7 models
vendor site · Xurrent10 answers · 10 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.
30 answers · 10 models
21 answers · 9 models
19 answers · 9 models
17 answers · 9 models
13 answers · 7 models
12 answers · 8 models
12 answers · 7 models
9 answers · 3 models
9 answers · 8 models
9 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 incident management platform”, “incident management platform”, “incident management 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 |
|---|---|---|---|---|---|---|---|---|
| PagerDuty pagerduty.com | 53% | 205 | 27,100 | 685 | 82,470 | $1,433 | 118 | |
| incident.io incident.io incident.io 18%, Incident Tracker 4% | 22% | 170 | 1,900 | 70 | 65,369 | $108 | 12 | 1 |
| AlertOps alertops.com | 8% | 39 | 480 | 3 | 5,822 | $383 | 29 | |
| Rootly rootly.com | 4% | 97 | 1,900 | 30 | 13,774 | 23 | 2 | |
| ServiceNow parent site ServiceNow ITSM 4%, ServiceNow Security Incident Response 0% | 4% | 221 | 135,000 | 13,451 | ||||
| Jira atlassian.com Jira Service Management 2% | 2% | 335 | 6,600 | 188 | 4,724,388 company | $5,906 | 61 | 4 |
| xMatters xmatters.com | 2% | 52 | 1,900 | 69 | 14,538 | 3 | 9 | |
| FireHydrant firehydrant.com | 2% | 69 | 49,500 | 19 | 20,080 | 6 | ||
| Hyperping hyperping.com | 2% | 25 | 140 | 0 | 67,358 | |||
| Instatus instatus.com | 2% | 8 |
Google's top ten for the three searches hold 18 sites; 4 of them are among the sites the models cited here (atlassian.com, incident.io, rootly.com, xurrent.com). The first result for “best incident management platform” is incident.io.
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 incident management platform for an enterprise B2B company?”Paraphrase“Which on-call scheduling and alerting tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade incident management platforms and how do they differ?”Budget-constrained“What is the best incident management 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 an incident management platform. What should we look at?”Negative“Which incident management platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5PagerDuty, RootlyPagerDutyChangedPagerDuty, ServiceNow ITSMagainst: Opsgenie, incident.ioHyperping, Instatusagainst: PagerDuty, ServiceNow ITSMno first choiceagainst: Jira Service Management, Opsgenie, PagerDuty
Two alternatives
ServiceNow ITSM, incident.ioThree alternatives
OnPage, Opsgenie, incident.ioTwo alternatives
Jira Service Management, RootlyOne alternative
incident.ioGPT-5.4 miniPagerDutyPagerDutyHeldPagerDutyPagerDutyagainst: Opsgenie, Splunk On-Call, xMattersno first choiceagainst: Everbridge 360 AI, Opsgenie, PagerDuty
Four alternatives
Jira Service Management, Opsgenie, Splunk On-Call, xMattersTwo alternatives
Opsgenie, Splunk On-CallSeven alternatives
Datadog Incident Management, FireHydrant, Jira Service Management, Opsgenie, ServiceNow ITSM, Splunk On-Call, xMattersGemini 3.5 Flashincident.ioPagerDutyChangedPagerDutyRootly, incident.ioagainst: Opsgenie, PagerDutyno first choiceagainst: PagerDuty, xMattersagainst: BMC Remedy, Prometheus Alertmanager, Splunk On-Call, Standalone Opsgenie
Four alternatives
Jira Service Management, PagerDuty, Rootly, ServiceNow ITSMThree alternatives
Jira Service Management, incident.io, xMattersFive alternatives
Datadog Incident Management, FireHydrant, Opsgenie, Rootly, ServiceNow ITSMTwo alternatives
ServiceNow ITSM, SquadcastPerplexity SonarPagerDutyPagerDutyHeldagainst: incident.ioPagerDutyincident.iono first choiceagainst: Better Stack, Datadog Incident Response, Freshservice, Grafana IRM, Opsgenie, PagerDuty, Rootly, Splunk On-Call, incident.io, xMatters
Seven alternatives
AlertOps, Datadog Incident Response, Jira Service Management, Rootly, ServiceNow ITSM, incident.io, xMattersThree alternatives
Jira Service Management, Rootly, xMattersNine alternatives
BigPanda, Datadog Incident Management, Grafana IRM, Jira Service Management, Rootly, ServiceNow ITSM, Splunk On-Call, incident.io, xMattersOne alternative
PagerDutyGrok 4.20ServiceNow ITSMPagerDutyChangedagainst: Rootly, incident.ioPagerDutyagainst: OpsgenieServiceNow ITSMagainst: Rootly, incident.ioincident.ioagainst: Opsgenieagainst: BigPanda, Datadog, Jira Service Management, Logz.io, Moogsoft, New Relic, Opsgenie, PagerDuty, ServiceNow ITSM, Splunk On-Call, Sumo Logic, xMatters
Two alternatives
PagerDuty, RootlyFour alternatives
Opsgenie, Squadcast, Zenduty, xMattersFive alternatives
Jira Service Management, Rootly, ServiceNow ITSM, incident.io, xMattersTwo alternatives
Jira Service Management, PagerDutyFour alternatives
FireHydrant, PagerDuty, Rootly, ServiceNow ITSMMistral SmallPagerDutyPagerDutyHeldagainst: FireHydrantPagerDutyPagerDutyagainst: Datadog Incident Responseno first choiceagainst: Jira Service Management, Opsgenie, PagerDuty, ServiceNow ITSM
Three alternatives
Jira Service Management, ServiceNow ITSM, incident.ioTwo alternatives
Opsgenie, Splunk On-CallFive alternatives
FireHydrant, Jira Service Management, Opsgenie, ServiceNow ITSM, incident.ioTwo alternatives
AlertOps, incident.ioDeepSeek V4 Flashincident.ioPagerDutyChangedagainst: Opsgenie, incident.ioPagerDutyagainst: OpsgeniePagerDutyagainst: ServiceNow ITSMPagerDutyagainst: Opsgenieagainst: BMC Helix ITSM, BMC Remedy, Jira Service Management, Opsgenie, PagerDuty, ServiceNow ITSM, Splunk On-Call, Zendesk
Two alternatives
PagerDuty, ServiceNow ITSMFour alternatives
Jira Service Management, OnPage, Splunk On-Call, xMattersSix alternatives
BMC Helix ITSM, Jira Service Management, Rootly, ServiceNow ITSM, incident.io, xMattersOne alternative
incident.ioThree alternatives
FireHydrant, Rootly, incident.ioLlama 4 Maverickno first choicePagerDutyChangedAlertOpsAlertOps, PagerDutyno first choiceagainst: Opsgenie, PagerDuty
Three alternatives
Jira Service Management, SIGNL4, incident.ioSeven alternatives
Datadog Incident Response, Grafana IRM, Jira Service Management, PagerDuty, Rootly, incident.io, xMattersOne alternative
xMattersQwen 3.7 FlashPagerDutyagainst: OpsgeniePagerDutyHeldPagerDuty, incident.ioagainst: OpsgenieFireHydrantno first choiceagainst: BMC Helix ITSM, Nagios, Notion, SAP modules, SolarWinds, Trello, Zabbix
Four alternatives
Jira Service Management, Rootly, ServiceNow ITSM, incident.ioThree alternatives
Grafana IRM, Spike.sh, xMattersTwo alternatives
Rootly, xMattersTwo alternatives
AlertOps, PagerDutyKimi K2PagerDutyagainst: OpsgeniePagerDutyHeldPagerDutyagainst: OpsgenieAlertOps, xMattersagainst: Opsgenie, PagerDuty, incident.iono first choiceagainst: Opsgenie, PagerDuty, ServiceNow ITSM
Three alternatives
Jira Service Management, ServiceNow ITSM, incident.ioThree alternatives
ServiceNow ITSM, incident.io, xMattersSix alternatives
BigPanda, Moogsoft, Rootly, ServiceNow ITSM, incident.io, xMattersThree alternatives
BigPanda, ServiceNow ITSM, SplunkGLM 4.7 FlashXPagerDutyPagerDutyHeldno first choiceincident.ioagainst: AlertOps, PagerDutyno first choiceagainst: AWS Systems Manager Incident Manager, Ally Incident Management, Jira Service Management, Opsgenie, PagerDuty, Remedy, ServiceNow ITSM, Zendesk
Seven alternatives
AlertOps, Jira Service Management, Opsgenie, Rootly, ServiceNow ITSM, Splunk On-Call, incident.ioTwo alternatives
Better Stack, OpsgenieFive alternatives
Jira Service Management, PagerDuty, Rootly, ServiceNow ITSM, incident.ioMiniMax M2.5AlertOpsAlertOpsHeldPagerDutyIncident Trackeragainst: ServiceNow ITSMno first choiceagainst: PagerDuty
Two alternatives
PagerDuty, incident.ioOne alternative
PagerDutySeven alternatives
AlertOps, Jira Service Management, Opsgenie, Rootly, ServiceNow ITSM, incident.io, xMattersTwo alternatives
PagerDuty, incident.ioGPT-6 LunaPagerDuty, incident.ioagainst: OpsgeniePagerDutyChangedagainst: OpsgeniePagerDutyagainst: OpsgenieJira Service Managementagainst: PagerDutyno first choiceagainst: FireHydrant, Jira Service Management, Opsgenie, PagerDuty
Two alternatives
Rootly, ServiceNow ITSMTwo alternatives
Jira Service Management, incident.ioFive alternatives
Datadog Incident Management, FireHydrant, Jira Service Management, ServiceNow ITSM, incident.ioOne alternative
xMattersFive alternatives
Jira Service Management, PagerDuty, ServiceNow ITSM, ServiceNow Security Incident Response, incident.ioMuse Glimmer 30BPagerDutyPagerDutyHeldagainst: Opsgenie, Spike.sh, Squadcast, ZendutyAlertOps, PagerDuty, xMatters, now Everbridgeagainst: OpsgenieIncident Tracker, incident.ioagainst: PagerDutyincident.ioagainst: Opsgenie, PagerDutyagainst: Opsgenie, PagerDuty
Five alternatives
AlertOps, Rootly, ServiceNow ITSM, incident.io, xMattersTwo alternatives
OnPage, incident.ioSeven alternatives
BMC Helix ITSM, Datadog Incident Response, Grafana Cloud Incident Response Management, Jira Service Management, Rootly, ServiceNow ITSM, incident.ioOne alternative
FireHydrantTwo alternatives
FireHydrant, RootlyBold 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 17:38 | yes | 10 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 18:48 | yes | 6 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:20 | yes | 11 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 12:33 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:03 | yes | 5 | 14 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 18:24 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:56 | yes | 21 | 23 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:52 | yes | 5 | 7 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:09 | yes | 5 | 23 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:44 | yes | 10 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:27 | yes | 13 | 35 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 17:32 | yes | 5 | 85 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 18:47 | yes | 5 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:33 | yes | 14 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 19:07 | yes | 10 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:43 | yes | 4 | 4 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 09:35 | yes | 6 | 19 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 09:36 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:38 | yes | 5 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 13:09 | no | 0 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:22 | yes | 24 | 23 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 18:46 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:50 | yes | 5 | 24 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:43 | yes | 25 | 43 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:26 | no | 0 | 35 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 19:09 | yes | 10 | 31 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 13:33 | yes | 3 | 11 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:02 | yes | 15 | 18 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 17:52 | yes | 17 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 19:35 | yes | 15 | 13 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 17:28 | no | 0 | 18 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 12:57 | yes | 10 | 8 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 18:23 | yes | 5 | 12 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 19:23 | yes | 20 | 15 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:13 | yes | 23 | 34 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 17:02 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 19:21 | yes | 10 | 55 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 17:40 | yes | 17 | 36 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 14:44 | yes | 22 | 328 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:03 | yes | 5 | 22 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 13:38 | yes | 7 | 21 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 19:01 | yes | 14 | 22 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:33 | yes | 18 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 08:49 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:23 | yes | 12 | 18 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 12:20 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:44 | yes | 22 | 18 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 13:55 | yes | 5 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:15 | yes | 23 | 24 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:37 | yes | 6 | 4 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:19 | yes | 23 | 126 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:00 | yes | 19 | 29 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:03 | yes | 20 | 30 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:15 | yes | 20 | 91 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 19:19 | yes | 3 | 18 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 18:00 | yes | 20 | 34 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 19:13 | yes | 18 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:31 | yes | 4 | 7 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 09:58 | no | 0 | 15 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 13:26 | yes | 10 | 14 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 18:55 | yes | 15 | 17 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:09 | no | 0 | 29 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 17:01 | yes | 25 | 51 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 16:47 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:55 | no | 0 | 37 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:18 | yes | 8 | 34 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:32 | yes | 14 | 52 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:19 | no | 0 | 10 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 17:25 | yes | 5 | 20 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:22 | yes | 15 | 22 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 16:31 | yes | 19 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 18:01 | yes | 4 | 5 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 10:29 | yes | 5 | 23 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 10:10 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 19:33 | yes | 14 | 18 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:44 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 13:08 | yes | 23 | 40 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 15:49 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 15:38 | no | 0 | 33 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:29 | yes | 24 | 45 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:51 | yes | 24 | 45 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:50 | yes | 15 | 44 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:24 | yes | 3 | 15 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:19 | yes | 14 | 25 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
BMC Helix read as BMC Helix ITSM
ServiceNow read as ServiceNow ITSM
ServiceNow (ITSM with Incident Management module) read as ServiceNow ITSM
ServiceNow (ITSM/Security Operations) read as ServiceNow ITSM
ServiceNow IT Service Management read as ServiceNow ITSM
ServiceNow IT Service Management (ITSM) read as ServiceNow ITSM
Unresolved, counted raw
AWS Systems Manager Incident Manager
Ally Incident Management
Cheeta
Cricium
Eventually
Grafana Cloud Incident Response Management
Prometheus Alertmanager
SAP modules
ServiceOps
ShadowHQ
Standalone Opsgenie (Atlassian)
Discontinued, still offered
No shut-down product was recommended here.