LeanIX vs Archi
Three of fourteen models named LeanIX first on the direct prompt; zero named Archi. LeanIX was named by ten of the fourteen models and Archi by eleven and LeanIX carries 20 labels and Archi 14, so the shares are not directly comparable.
Named in two categories this edition.
Archi
accepted challengerNamed in one category this edition.
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 enterprise architecture tools page.
By framing
LeanIXFirst choices, of fourteen modelsArchiAcross every category in the October 2026 Edition, LeanIX and Archi were named in the same answer twenty-seven times, of the 73 answers naming LeanIX and the 55 naming Archi. In those answers Archi took the first choice eleven times and LeanIX five.
Every model, every framing
| Model | DirectAR | ParaphraseAR | ComparativeAR | Budget-constrainedAR | Scale-constrainedAR | NegativeAR |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | AR | | | AR | | |
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | AR | | | |||
| Perplexity Sonar | | AR | ||||
| Grok 4.1 Fast | | AR | | |||
| Mistral Small | ||||||
| DeepSeek V4 Flash | AR | | ||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | | AR | ||||
| Kimi K2 | | AR | ||||
| GLM 4.7 FlashX | AR | |||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | AR | |||||
| Muse Glimmer 30B | | AR |
LeanIXAR Archi first choice named as an alternative argued againstblank: not namedEach cell is one answer, LeanIX on the left and Archi on the right.The direct prompt
LeanIX first, Archi an alternative
3 of 14 modelsArchi was named in the answer but not as the choice, or not at all.Neither was named
11 of 14 modelsThe answer made no first choice from these two in this category.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
LeanIX16%#3 of 10What the models said about LeanIX
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 high-end tools like LeanIX, Bizzdesign, or Ardoq (enterprise pricing, often $10K+ annually).” Grok 4.1 Fast · budget prompt · hard negative
“Modern SaaS platforms like LeanIX, Ardoq, and BiZZdesign frequently cost upwards of $10,000 to $50,000+ per year, placing them far out of reach” Gemini 3.5 Flash · budget prompt · soft negative
“SaaS Platforms with "Asset-Based" Pricing (e.g., LeanIX, Ardoq) ... Unpredictable, ballooning licensing costs.” Gemini 3.5 Flash · negative prompt · soft negative
“For most mid-market B2B companies, LeanIX or Ardoq offer the best balance of cloud-native architecture, modern UX, and scalability.” Claude Haiku 4.5 · direct prompt · first choice
“SaaS options like LeanIX, Bizzdesign, Ardoq, or Sparx Enterprise Architect, which support mid-sized orgs managing 50-500+ apps” Grok 4.1 Fast · scale prompt · first choice
“Widely considered the gold standard for modern Application Portfolio Management. It is incredibly user-friendly” Gemini 3.5 Flash · scale prompt · first choice
What the models said about Archi
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“For the most budget-conscious approach, Archi is an excellent starting point due to its simplicity, active community, and zero cost.” Claude Haiku 4.5 · budget prompt · first choice
“If your budget is truly limited, Archi (the free, open‑source ArchiMate editor) is still the best starting point for most companies.” GLM 4.7 FlashX · budget prompt · first choice
“If you need absolutely no cost and can work desktop-based, Archi is the standard starting point.” Muse Glimmer 30B · budget prompt · first choice
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.