Incident management and on-call · October 2026 Edition
incident.io vs PagerDuty
Six of fourteen models named incident.io first on the direct prompt; three named PagerDuty. Both were named by all fourteen models and incident.io carries 57 labels and PagerDuty 72, so the shares are not directly comparable.
Named in two categories this edition.
Named in four categories this edition.
First-choice share32%15%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%33%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 11; printed, not drawn.
Labels5772A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, incident.io reading right to left. Rank and label count are printed, not drawn.Freshservice was named alongside these two in eight of the fourteen direct answers. incident.io vs Freshservice · incident.io vs Squadcast · incident.io vs Grafana IRM
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the incident management and on-call page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
incident.ioFirst choices, of fourteen modelsPagerDuty
Direct634 against PagerDuty
Paraphrase624 against PagerDuty
Comparative311
Budget-constrained404 against PagerDuty
Scale-constrained341 against PagerDuty
Negative513 against incident.io · 11 against PagerDuty
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the October 2026 Edition, incident.io and PagerDuty were named in the same answer 159 times, of the 176 answers naming incident.io and the 272 naming PagerDuty. In those answers PagerDuty took the first choice thirty-seven times and incident.io fifty-four.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where incident.io and PagerDuty stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | | | | |
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | | |
| Mistral Small | | | | | ||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | | |
| MiniMax M2.5 | | | | | | |
| GPT-6 Luna | | | | | | |
| Muse Glimmer 30B | | | | | | |
incident.io PagerDuty first choice named as an alternative argued againstblank: not namedEach cell is one answer, incident.io on the left and PagerDuty on the right.The direct prompt
The plain question, one answer per model, grouped by where incident.io and PagerDuty stood in it.
incident.io first, PagerDuty an alternative
6 of 14 modelsPagerDuty was named in the answer but not as the choice, or not at all.GPT-5.4 miniincident.io alternatives: PagerDuty, Rootly
Gemini 3.5 Flashincident.io alternatives: FireHydrant, Freshservice, Rootly
DeepSeek V4 Flashincident.io alternatives: Freshservice, Jira Service Management
Kimi K2incident.io alternatives: Squadcast
GLM 4.7 FlashXRootly, incident.io alternatives: Jira Service Management, PagerDuty
GPT-6 Lunaincident.io alternatives: PagerDuty, Rootly
PagerDuty first, incident.io an alternative
3 of 14 modelsincident.io was named in the answer but not as the choice, or not at all.Mistral SmallFreshservice, PagerDuty alternatives: ManageEngine ServiceDesk Plus
Qwen 3.7 FlashPagerDuty alternatives: Datadog Incident Management, FireHydrant, Opsgenie
MiniMax M2.5Freshservice, PagerDuty alternatives: Jira Service Management, incident.io
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Freshservice alternatives: HaloITSM, Hyperping, ManageEngine ServiceDesk Plus, Rootly, Zenduty, ilert, incident.io
Perplexity SonarFreshservice alternatives: PagerDuty, Rootly, incident.io
Grok 4.20Freshservice alternatives: InvGate Service Management, Jira Service Management, ManageEngine ServiceDesk Plus, PagerDuty, incident.io
Muse Glimmer 30BFreshservice alternatives: PagerDuty, Rootly, incident.io
Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.Llama 4 Maverickno first choice
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
incident.io leads by twenty-four points.
incident.io35%#1 of 13PagerDuty11%#3 of 13Mid-marketThe figures above
incident.io leads by seventeen points.
incident.io32%#1 of 11PagerDuty15%#2 of 11Enterprise
The order flips: PagerDuty leads at enterprise.
PagerDuty57%#1 of 9incident.io18%#2 of 9What the models said about incident.io
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“missing features in incident.io, particularly in reporting capabilities and SLA tracking” Claude Haiku 4.5 · negative prompt · soft negative
“if your teams don't want incident workflows tied to Slack or Microsoft Teams” GPT-6 Luna · negative prompt · soft negative
“Pricing surprises: Costs spike sharply after small-team thresholds” Qwen 3.7 Flash · negative prompt · soft negative
“Small team ≤5-10 responders and wants zero cost: incident.io free, FireHydrant free up to 10 responders, Better Stack free, or Opsgenie free up to 5 users.” Muse Glimmer 30B · budget prompt · first choice
“Choose incident.io if your team is Slack-centric and values speed of implementation, modern UX, and transparent all-in-one pricing.” Kimi K2 · direct prompt · first choice
“Highly recommended for mid-market/scale-up companies. It is highly polished, opinionated, runs seamlessly inside Slack/Teams” Gemini 3.5 Flash · scale prompt · first choice
What the models said about PagerDuty
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid PagerDuty unless you truly need enterprise-grade features” Kimi K2 · budget prompt · hard negative
“The legacy heavyweight. Unrivaled for raw paging and alert routing reliability, but can feel clunky, expensive, and require a lot of manual configuration” Gemini 3.5 Flash · scale prompt · soft negative
“their paid tiers are expensive. Their "Starter" edition is free, but it lacks advanced reporting and custom escalation rules” Qwen 3.7 Flash · budget prompt · soft negative
“the sweet spot is likely a modern "Cloud-Native" Incident Manager (like PagerDuty, Opsgenie, Statuspage, or newer competitors like FireHydrant or Phoebe)” Qwen 3.7 Flash · scale prompt · first choice
“PagerDuty – Best for enterprise incident management, strong end-to-end orchestration, AI/automation, and Slack/Teams integration. Pricing higher, feature rich.” Muse Glimmer 30B · scale prompt · first choice
“Industry leader with 750+ integrations ... Choose PagerDuty if you need dedicated alerting, on-call management, and have diverse tooling” MiniMax M2.5 · comparative prompt · first choice
Also compared
incident.io vs Freshserviceincident.io vs Squadcastincident.io vs Grafana IRMincident.io vs Opsgenieincident.io vs Rootlyincident.io vs FireHydrantPagerDuty vs FreshservicePagerDuty vs SquadcastPagerDuty vs Grafana IRMPagerDuty vs OpsgeniePagerDuty vs RootlyPagerDuty vs FireHydrantAll twenty-eight head-to-head pages and the full incidents standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.