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IT asset management · November 2026 Edition

Lansweeper vs Asset Panda

Two of fourteen models named Lansweeper first on the direct prompt; one named Asset Panda. Lansweeper was named by fourteen of the fourteen models and Asset Panda by twelve and Lansweeper carries 52 labels and Asset Panda 22, so the shares are not directly comparable.

Lansweeper

accepted challenger

Named in two categories this edition.

Asset Panda

accepted challenger

Named in one category this edition.

First-choice share20%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 12; printed, not drawn.
Labels5222A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Lansweeper reading right to left. Rank and label count are printed, not drawn.ManageEngine AssetExplorer was named alongside these two in ten of the fourteen direct answers. Snipe-IT vs Lansweeper · Snipe-IT vs Asset Panda · Lansweeper vs Freshservice

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 IT asset management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
LansweeperFirst choices, of fourteen modelsAsset Panda
Direct21
Paraphrase80
Comparative00
Budget-constrained00
Scale-constrained00
Negative006 against Lansweeper · 3 against Asset Panda
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 November 2026 Edition, Lansweeper and Asset Panda were named in the same answer forty-five times, of the 149 answers naming Lansweeper and the 74 naming Asset Panda. In those answers Asset Panda took the first choice two times and Lansweeper four.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Lansweeper and Asset Panda stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Lansweeper Asset Panda first choice named as an alternative argued againstblank: not namedEach cell is one answer, Lansweeper on the left and Asset Panda on the right.

The direct prompt

The plain question, one answer per model, grouped by where Lansweeper and Asset Panda stood in it.

Lansweeper first, Asset Panda an alternative

2 of 14 modelsAsset Panda was named in the answer but not as the choice, or not at all.
GPT-5.4 miniLansweeper, ServiceNow IT Asset Management alternatives: AssetSonar, Flexera One IT Asset Management, Freshservice
GLM 4.7 FlashXInvGate Asset Management, Lansweeper, ManageEngine AssetExplorer alternatives: Asset Panda, Flexera One IT Asset Management, NinjaOne, ServiceNow IT Asset Management

Asset Panda first, Lansweeper an alternative

1 of 14 modelsLansweeper was named in the answer but not as the choice, or not at all.
Mistral SmallAsset Panda, InvGate Asset Management alternatives: Device42, Lansweeper, ServiceNow IT Asset Management

Neither was the first choice, one was named

9 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashFreshservice alternatives: AssetSonar, BlueTally, Lansweeper, ManageEngine AssetExplorer, Setyl
Perplexity SonarFreshservice alternatives: Asset Panda, Lansweeper, ManageEngine AssetExplorer
Grok 4.20Freshservice alternatives: Lansweeper, ManageEngine AssetExplorer, NinjaOne
DeepSeek V4 FlashManageEngine AssetExplorer alternatives: Asset Panda, InvGate Asset Management, Lansweeper, NinjaOne
Qwen 3.7 FlashFreshservice alternatives: Jira Service Management, Lansweeper, ManageEngine AssetExplorer, Snipe-IT
Kimi K2Freshservice alternatives: Asset Panda, Lansweeper, ManageEngine AssetExplorer
MiniMax M2.5InvGate Asset Management alternatives: Asset Panda, Freshservice
GPT-6 LunaInvGate Asset Management alternatives: Freshservice, Lansweeper, ManageEngine AssetExplorer
Muse Glimmer 30BFreshservice, Freshworks alternatives: Device42, InvGate Asset Management, Ivanti Neurons for ITAM, Lansweeper, ManageEngine AssetExplorer, ServiceNow IT Asset Management

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Freshservice alternatives: AssetSonar, InvGate Asset Management, ManageEngine AssetExplorer, Snipe-IT
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
Asset Panda leads by two points.
Asset Panda8%#3 of 12
Lansweeper7%#4 of 12
The full small business standing →
Mid-marketThe figures above
The order flips: Lansweeper leads at mid-market.
Lansweeper20%#2 of 12
Asset Panda2%#7 of 12
The full mid-market standing →
Enterprise
Lansweeper leads by two points.
Lansweeper2%#3 of 12
Asset Panda0%#11 of 12
The full enterprise standing →

What the models said about Lansweeper

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Extremely low Trustpilot rating (around 1.7/5 from dozens of reviews), with frequent complaints about useless or unresponsive support” Grok 4.20 · negative prompt · hard negative
“Be wary of older, traditional scanners (like older versions of Lansweeper...) that do not integrate with modern cloud environments” Qwen 3.7 Flash · negative prompt · soft negative
“Platforms where on-prem and cloud versions diverge significantly (a complaint seen with Lansweeper) can become maintenance nightmares.” DeepSeek V4 Flash · negative prompt · soft negative
“a balanced choice is ManageEngine AssetExplorer (cost-effective, solid core features), Lansweeper (fast discovery, broad visibility), or InvGate Asset Management” GLM 4.7 FlashX · direct prompt · first choice
“If you mean best value for a typical mid-market B2B company: Lansweeper is often the more practical choice.” GPT-5.4 mini · direct prompt · first choice
“The Top Recommendation: Lansweeper ... widely considered the gold standard for mid-sized companies” Qwen 3.7 Flash · paraphrase prompt · first choice

What the models said about Asset Panda

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“Asset Panda has no discovery functionality—all asset data entry is manual—and is not designed for enterprise ITAM, software licensing, or compliance tracking” Claude Haiku 4.5 · negative prompt · soft negative
“complaints include a nearly useless search bar ... slow mobile app, time-consuming customization, and potentially high pricing” Grok 4.20 · negative prompt · soft negative
“Do not buy a hardware-first tool expecting it to automate software compliance or SaaS discovery” Gemini 3.5 Flash · negative prompt · soft negative
“Asset Panda and InvGate Asset Management are top choices due to their ease of use, comprehensive features, and strong customer feedback.” Mistral Small · direct prompt · first choice
“Asset Panda works well for IT and operations teams that want mobile-driven audits plus approval flows” Muse Glimmer 30B · comparative prompt · alternative
“Choose Asset Panda when configurable asset workflows and mobile inventory operations matter more” Perplexity Sonar · direct prompt · alternative
Also compared

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.