Seven of fourteen models named Mend.io first on the direct prompt; zero named OWASP Dependency-Check. Both were named by all fourteen models and Mend.io carries 37 labels and OWASP Dependency-Check 35, so the shares are not directly comparable.
Named in three categories this edition.
Named in three categories 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 software composition analysis page.
Across every category in the October 2026 Edition, Mend.io and OWASP Dependency-Check were named in the same answer thirty-one times, of the 120 answers naming Mend.io and the 99 naming OWASP Dependency-Check. In those answers OWASP Dependency-Check took the first choice three times and Mend.io one.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“This is the tool that surfaces most frequently in negative developer feedback” DeepSeek V4 Flash · negative prompt · hard negative
“Aggressive automation often creates noise by suggesting unnecessary updates or upgrades that introduce breaking changes.” Claude Haiku 4.5 · negative prompt · soft negative
“you do not need a high-end enterprise Software Composition Analysis (SCA) tool (like Black Duck, Mend, or Sonatype)” Gemini 3.5 Flash · budget prompt · soft negative
“For most mid-market B2B companies balancing security, compliance, and developer experience, Mend.io is the most frequently recommended choice.” Claude Haiku 4.5 · direct prompt · first choice
“the best Software Composition Analysis (SCA) tool for a mid-market B2B company is Mend.io” Qwen 3.7 Flash · direct prompt · first choice
“The best software composition analysis tool for a mid-market B2B company is Mend.io” Llama 4 Maverick · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“useful as a free scanner, but I'd avoid treating its results as definitive ... can produce both false positives and false negatives” GPT-6 Luna · negative prompt · soft negative
“It has a higher false-positive rate than Trivy or Grype (due to CPE-based matching), so it requires more triage time.” Kimi K2 · budget prompt · soft negative
“Basic scanning, can be noisy, and is often cited as lacking the depth and automation of commercial tools.” Perplexity Sonar · negative prompt · soft negative
“OWASP Dependency-Check is a free, open-source SCA tool that provides basic CVE scanning for teams with limited budgets.” Claude Haiku 4.5 · budget prompt · first choice
“the best starting point is usually OWASP Dependency-Check because it is free and open source” Perplexity Sonar · budget prompt · first choice
“the best default choice is usually OWASP Dependency-Check. It's free, open source” GPT-5.4 mini · 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.