# Grafana IRM vs FireHydrant: which do AI models recommend for incidents, October 2026

IT AI Recommendation Index, October 2026 Edition, Incident management and on-call. Zero of fourteen models named Grafana IRM first on the direct prompt; zero named FireHydrant. Page: https://it-ai-index.com/operations/incident-management-and-on-call/grafana-irm-vs-firehydrant/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Grafana IRM | 7% | #5 of 11 | 14% | 22 | 10 of 14 |
| FireHydrant | 2% | #8 of 11 | 10% | 21 | 10 of 14 |

## The direct prompt, model by model

- Gemini 3.5 Flash: neither first, one named (first choices: incident.io) (alternatives: FireHydrant, Freshservice, Rootly)
- Qwen 3.7 Flash: neither first, one named (first choices: PagerDuty) (alternatives: Datadog Incident Management, FireHydrant, Opsgenie)
- Claude Haiku 4.5: neither named (first choices: Freshservice) (alternatives: HaloITSM, Hyperping, ManageEngine ServiceDesk Plus, Rootly, Zenduty, ilert, incident.io)
- GPT-5.4 mini: neither named (first choices: incident.io) (alternatives: PagerDuty, Rootly)
- Perplexity Sonar: neither named (first choices: Freshservice) (alternatives: PagerDuty, Rootly, incident.io)
- Grok 4.1 Fast: neither named (first choices: Freshservice) (alternatives: InvGate Service Management, Jira Service Management, ManageEngine ServiceDesk Plus, PagerDuty, incident.io)
- Mistral Small: neither named (first choices: Freshservice, PagerDuty) (alternatives: ManageEngine ServiceDesk Plus)
- DeepSeek V4 Flash: neither named (first choices: incident.io) (alternatives: Freshservice, Jira Service Management)
- Llama 4 Maverick: neither named
- Kimi K2: neither named (first choices: incident.io) (alternatives: Squadcast)
- GLM 4.7 FlashX: neither named (first choices: Rootly, incident.io) (alternatives: Jira Service Management, PagerDuty)
- MiniMax M2.5: neither named (first choices: Freshservice, PagerDuty) (alternatives: Jira Service Management, incident.io)
- GPT-6 Luna: neither named (first choices: incident.io) (alternatives: PagerDuty, Rootly)
- Muse Glimmer 30B: neither named (first choices: Freshservice) (alternatives: PagerDuty, Rootly, incident.io)

## What the models said about Grafana IRM

- "Avoid Grafana OnCall Open Source" (Gemini 3.5 Flash, paraphrase prompt, hard negative)
- "open-source version entered maintenance mode in March 2025 and is being replaced by Grafana Cloud IRM" (Muse Glimmer 30B, paraphrase prompt, soft negative)
- "be cautious if you're not already committed to that observability ecosystem" (GPT-5.4 mini, negative prompt, soft negative)
- "start with Grafana OnCall if you're already in the Grafana ecosystem" (Kimi K2, budget prompt, first choice)
- "the pragmatic pick is Squadcast or Grafana Cloud IRM for cost control" (Muse Glimmer 30B, paraphrase prompt, first choice)
- "🏆 Top Pick: Grafana OnCall (Free / Open Source)" (DeepSeek V4 Flash, budget prompt, first choice)

## What the models said about FireHydrant

- "potentially fine products, but be cautious if you're sensitive to ownership changes, product consolidation, or roadmap uncertainty" (GPT-5.4 mini, negative prompt, soft negative)
- "FireHydrant was acquired by Freshworks... acquisitions often trigger shifts in pricing" (Gemini 3.5 Flash, negative prompt, soft negative)
- "The Best All-Rounder: FireHydrant ... widely considered the best modern alternative to expensive enterprise platforms" (Qwen 3.7 Flash, budget prompt, first choice)
- "Best for: Teams wanting an all-in-one platform spanning alerting, on-call, incident response, and retrospectives" (DeepSeek V4 Flash, comparative prompt, alternative)
- "Best for ITIL & Customer Support Alignment ... the Freshworks ecosystem is highly compelling." (Gemini 3.5 Flash, direct prompt, alternative)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.