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Deception technology · October 2026 Edition

Thinkst Canary vs T-Pot

Three of fourteen models named Thinkst Canary first on the direct prompt; zero named T-Pot. Thinkst Canary was named by thirteen of the fourteen models and T-Pot by nine and Thinkst Canary carries 40 labels and T-Pot 11, so the shares are not directly comparable.

Thinkst Canary

endorsed leader

Named in one category this edition.

T-Pot

accepted challenger

Named in one category this edition.

First-choice share37%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 11; printed, not drawn.
Labels4011A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Thinkst Canary reading right to left. Rank and label count are printed, not drawn.Acalvio ShadowPlex was named alongside these two in nine of the fourteen direct answers. Thinkst Canary vs Acalvio ShadowPlex · Thinkst Canary vs Tracebit · Thinkst Canary vs OpenCanary

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 deception technology page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Thinkst CanaryFirst choices, of fourteen modelsT-Pot
Direct30
Paraphrase1101 against T-Pot
Comparative00
Budget-constrained212 against Thinkst Canary
Scale-constrained10
Negative00
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, Thinkst Canary and T-Pot were named in the same answer twenty-one times, of the 103 answers naming Thinkst Canary and the 31 naming T-Pot. In those answers T-Pot took the first choice zero times and Thinkst Canary thirteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Thinkst Canary and T-Pot stood in it.
ModelDirectTPParaphraseTPComparativeTPBudget-constrainedTPScale-constrainedTPNegativeTP
Claude Haiku 4.5
GPT-5.4 miniTP
Gemini 3.5 FlashTP
Perplexity Sonar
Grok 4.1 FastTP
Mistral Small
DeepSeek V4 Flash
Llama 4 MaverickTP
Qwen 3.7 FlashTP
Kimi K2
GLM 4.7 FlashXTPTP
MiniMax M2.5
GPT-6 LunaTP
Muse Glimmer 30BTP
Thinkst CanaryTP T-Pot first choice named as an alternative argued againstblank: not namedEach cell is one answer, Thinkst Canary on the left and T-Pot on the right.

The direct prompt

The plain question, one answer per model, grouped by where Thinkst Canary and T-Pot stood in it.

Thinkst Canary first, T-Pot not the choice

3 of 14 modelsT-Pot was named in the answer but not as the choice, or not at all.
GPT-5.4 miniThinkst Canary alternatives: Acalvio ShadowPlex
Gemini 3.5 FlashThinkst Canary alternatives: SentinelOne Singularity Hologram, Tracebit
Kimi K2Thinkst Canary alternatives: TrapEye, Trapster

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Deceptive Bytes alternatives: Acalvio 360 Deception, Illusive, Thinkst Canary
Perplexity SonarAcalvio ShadowPlex alternatives: Fortinet FortiDeceptor, Thinkst Canary
Grok 4.1 FastAcalvio ShadowPlex alternatives: Fortinet FortiDeceptor, Thinkst Canary
GPT-6 LunaTracebit alternatives: Acalvio ShadowPlex, Thinkst Canary, Zscaler Deception
Muse Glimmer 30BFortinet FortiDeceptor, Rapid7 Incident Command alternatives: Acalvio ShadowPlex, Proofpoint, Thinkst Canary

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Mistral SmallAcalvio ShadowPlex, Attivo Networks ThreatDefend
DeepSeek V4 FlashTracebit alternatives: Acalvio ShadowPlex, Fidelis Deception, FortiDeceptor
Llama 4 Maverickno first choice
Qwen 3.7 FlashHoneypot.io alternatives: Attivo Networks, Cymulate, Microsoft Defender XDR
GLM 4.7 FlashXRapid7 InsightIDR alternatives: Acalvio ShadowPlex, Fortinet FortiDeceptor
MiniMax M2.5Acalvio ShadowPlex, Illusive Networks

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
Thinkst Canary leads by thirty points.
Thinkst Canary30%#1 of 9
T-Pot0%#8 of 9
The full small business standing →
Mid-marketThe figures above
Thinkst Canary leads by thirty-five points.
Thinkst Canary37%#1 of 11
T-Pot2%#6 of 11
The full mid-market standing →
Enterprise
Thinkst Canary leads by ten points.
Thinkst Canary10%#2 of 8
T-Pot0%#– of 8
The full enterprise standing →

What the models said about Thinkst Canary

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

“But pricier than open-source—avoid if truly limited.” Grok 4.1 Fast · budget prompt · soft negative
“Too expensive for most small budgets” GLM 4.7 FlashX · budget prompt · soft negative
“For most mid-sized B2B companies with a small SOC, start with Thinkst Canary for quick, high-confidence alerts and low operational overhead” Muse Glimmer 30B · paraphrase prompt · first choice
“Lightweight / Token-Centric Deception (e.g., Thinkst Canary, Tracebit) ... Best For: Mid-market companies with small teams.” Gemini 3.5 Flash · scale prompt · first choice
“Thinkst Canary offers a very low entry price, making it an excellent choice for budget-conscious organizations.” Claude Haiku 4.5 · budget prompt · first choice

What the models said about T-Pot

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

“High maintenance (Docker-heavy); better for labs than production.” Grok 4.1 Fast · paraphrase prompt · soft negative
“Pick `T-Pot` if you have ≥1 person who knows Linux, Docker, and log analysis, and you want maximum detection surface for $0.” Qwen 3.7 Flash · budget prompt · first choice
“2. T-Pot - an open-source honeypot platform that combines multiple protocol-specific honeypots and analytics tools.” Llama 4 Maverick · paraphrase prompt · alternative
“T-Pot is a strong option... but it has higher operational overhead and infrastructure requirements” GPT-5.4 mini · paraphrase 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.