Brandfolder vs Cloudinary
Zero of twelve models named Brandfolder first on the direct prompt; zero named Cloudinary. Brandfolder was named by twelve of the twelve models and Cloudinary by ten and Brandfolder carries 42 labels and Cloudinary 17, so the shares are not directly comparable.
Denver, United States, founded 2012. Named in one category this edition.
Santa Clara, Israel, founded 2011. Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 digital asset management page.
By framing
BrandfolderFirst choices, of twelve modelsCloudinary
Across every category in the September 2026 Edition, Brandfolder and Cloudinary were named in the same answer twenty-eight times, of the 95 answers naming Brandfolder and the 42 naming Cloudinary. In those answers Cloudinary took the first choice zero times and Brandfolder zero.
Every model, every framing
| 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 | |
Brandfolder Cloudinary first choice named as an alternative argued againstblank: not namedEach cell is one answer, Brandfolder on the left and Cloudinary on the right.The direct prompt
Neither was the first choice, one was named
8 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 12 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
Brandfolder4%#6 of 11Cloudinary0%#10 of 11Brandfolder6%#4 of 12Cloudinary2%#5 of 12Brandfolder0%#9 of 10Cloudinary0%#8 of 10What the models said about Brandfolder
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“typically require custom quotes and often cost thousands per month” Kimi K2 · budget prompt · hard negative
“often out of reach for companies with limited budgets, as they routinely cost between $10,000 and $50,000+ per year” Gemini 3.5 Flash · budget prompt · soft negative
“I'd want to compare it directly against your workflow needs before recommending it over Bynder or Acquia DAM” GPT-5.4 mini · direct prompt · soft negative
“Start by evaluating Canto or Brandfolder, as both offer strong feature sets, reasonable pricing, and faster implementation” Claude Haiku 4.5 · paraphrase prompt · first choice
“look closely at Bynder, Widen, and Brandfolder. These platforms sit in the "Goldilocks zone"” Qwen 3.7 Flash · scale prompt · first choice
“the recommended DAM platform for a mid-sized B2B company would be Canto, Brandfolder, or Masset” Llama 4 Maverick · paraphrase prompt · first choice
What the models said about Cloudinary
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Media delivery powerhouse; weaker full DAM governance/brand controls vs. pure DAMs.” Grok 4.1 Fast · comparative prompt · soft negative
“Ultra-limited budget (<$50/month total)? Start with Cloudinary free or ResourceSpace self-hosted” Grok 4.1 Fast · budget prompt · first choice
“Use Cloudinary/ImageKit for developer-led teams needing programmatic media delivery” DeepSeek V4 Flash · comparative prompt · alternative
“better if your DAM is tightly tied to image/video transformation and delivery” GPT-5.4 mini · paraphrase prompt · alternative
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.