Network detection and response · October 2026 Edition
ExtraHop Reveal vs ExtraHop RevealX
Two of fourteen models named ExtraHop Reveal first on the direct prompt; two named ExtraHop RevealX. ExtraHop Reveal was named by ten of the fourteen models and ExtraHop RevealX by twelve and ExtraHop Reveal carries 17 labels and ExtraHop RevealX 26, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%15%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 9; printed, not drawn.
Labels1726A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ExtraHop Reveal reading right to left. Rank and label count are printed, not drawn.Vectra AI was named alongside these two in nine of the fourteen direct answers. ManageEngine NetFlow Analyzer vs ExtraHop Reveal · ManageEngine NetFlow Analyzer vs ExtraHop RevealX · Vectra AI vs ExtraHop Reveal
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 network detection and response page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ExtraHop RevealFirst choices, of fourteen modelsExtraHop RevealX
Direct22
Paraphrase00
Comparative20
Budget-constrained002 against ExtraHop RevealX
Scale-constrained00
Negative002 against ExtraHop RevealX
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.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where ExtraHop Reveal and ExtraHop RevealX 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 4.1 Fast | | | | |||
| 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 | |
ExtraHop Reveal ExtraHop RevealX first choice named as an alternative argued againstblank: not namedEach cell is one answer, ExtraHop Reveal on the left and ExtraHop RevealX on the right.The direct prompt
The plain question, one answer per model, grouped by where ExtraHop Reveal and ExtraHop RevealX stood in it.
ExtraHop Reveal first, ExtraHop RevealX not the choice
2 of 14 modelsExtraHop RevealX was named in the answer but not as the choice, or not at all.Mistral SmallExtraHop Reveal, Vectra AI Platform alternatives: Darktrace
MiniMax M2.5ExtraHop Reveal, Vectra AI alternatives: Arista Awake Security, Corelight Open NDR
ExtraHop RevealX first, ExtraHop Reveal not the choice
2 of 14 modelsExtraHop Reveal was named in the answer but not as the choice, or not at all.GPT-5.4 miniExtraHop RevealX, Vectra AI alternatives: Corelight Open NDR, Darktrace
Qwen 3.7 FlashExtraHop RevealX alternatives: Cisco Secure Network Analytics, Darktrace, Vectra Cognito
Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Darktrace alternatives: ExtraHop Reveal, Vectra AI
Gemini 3.5 FlashVectra AI Platform alternatives: Darktrace, ExtraHop Reveal, Stellar Cyber Open XDR
Perplexity SonarVectra AI alternatives: Corelight Open NDR, Darktrace, ExtraHop Reveal
DeepSeek V4 FlashVectra AI alternatives: CrowdStrike Falcon Insight, ExtraHop Reveal
Kimi K2Vectra AI alternatives: Arista NDR, ExtraHop Reveal, Stamus Networks Clear NDR
GLM 4.7 FlashXDarktrace alternatives: Cisco Secure Network Analytics, Corelight Open NDR, ExtraHop Reveal, FortiNDR, Vectra AI
GPT-6 LunaVectra AI alternatives: Corelight Open NDR, ExtraHop RevealX
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Grok 4.1 FastVectra AI alternatives: Darktrace, ExtraHop (Reveal(x) or now part of Blend)
Llama 4 MaverickGatewatcher AIonIQ alternatives: LMNTRIX
Muse Glimmer 30BGatewatcher AIonIQ alternatives: Alert Logic Cloud Insight, CrowdStrike Falcon Insight, SentinelOne Singularity
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
Level: the same share of first choices.
ExtraHop Reveal0%#10 of 12ExtraHop RevealX0%#11 of 12Mid-marketThe figures above
Level: the same share of first choices.
ExtraHop Reveal4%#5 of 9ExtraHop RevealX4%#6 of 9Enterprise
ExtraHop Reveal leads by two points.
ExtraHop Reveal9%#3 of 7ExtraHop RevealX6%#5 of 7What the models said about ExtraHop Reveal
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Real-time visibility into encrypted, east-west, and north-south traffic; cloud-scale machine learning; packet-level insights” Mistral Small · comparative prompt · first choice
“ExtraHop excels when you need deep packet analysis and decryption” MiniMax M2.5 · comparative prompt · first choice
“Vectra AI and ExtraHop Reveal(x) are the top recommendations” Mistral Small · direct prompt · first choice
What the models said about ExtraHop RevealX
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Options to Avoid on a Tight Budget - Darktrace, Vectra AI, ExtraHop” DeepSeek V4 Flash · budget prompt · hard negative
“Licensing complexity (based on Discovered Devices); can generate high alert volumes” MiniMax M2.5 · negative prompt · soft negative
“commercial options like Vectra AI, Darktrace, or ExtraHop ($50K–$500K+/year)” Grok 4.1 Fast · budget prompt · soft negative
“The Overall Industry Leader: ExtraHop RevealX ... named a Leader in the very first Gartner Magic Quadrant” Qwen 3.7 Flash · direct prompt · first choice
“ExtraHop if your main need is excellent network visibility and fast investigations.” GPT-5.4 mini · direct prompt · first choice
“is a stronger enterprise-grade option, but it appears better suited to larger or more advanced deployments than a typical mid-sized company” Perplexity Sonar · paraphrase prompt · alternative
Also compared
ManageEngine NetFlow Analyzer vs ExtraHop RevealManageEngine NetFlow Analyzer vs ExtraHop RevealXVectra AI vs ExtraHop RevealVectra AI vs ExtraHop RevealXPaessler PRTG Network Monitor vs ExtraHop RevealPaessler PRTG Network Monitor vs ExtraHop RevealXCorelight Open NDR vs ExtraHop RevealCorelight Open NDR vs ExtraHop RevealXExtraHop Reveal vs DarktraceExtraHop RevealX vs DarktraceAll twenty-one head-to-head pages and the full NDR 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.