Wistia vs Gumlet
Twelve of twelve models named Wistia first on the direct prompt; zero named Gumlet. Wistia was named by twelve of the twelve models and Gumlet by ten and Wistia carries 68 labels and Gumlet 33, so the shares are not directly comparable.
Cambridge, United States, founded 2006. Named in two categories this edition.
Named in two categories 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 video marketing and hosting page.
By framing
WistiaFirst choices, of twelve modelsGumlet
Across every category in the September 2026 Edition, Wistia and Gumlet were named in the same answer seventy-three times, of the 210 answers naming Wistia and the 78 naming Gumlet. In those answers Gumlet took the first choice six times and Wistia thirty-eight.
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 | | | | | |
Wistia Gumlet first choice named as an alternative argued againstblank: not namedEach cell is one answer, Wistia on the left and Gumlet on the right.The direct prompt
Wistia first, Gumlet an alternative
12 of 12 modelsGumlet was named in the answer but not as the choice, or not at all.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
Wistia56%#1 of 9Gumlet4%#4 of 9What the models said about Wistia
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Wistia (with major caveats)... Per-video pricing model becomes extremely expensive... still considered one of the better options” Mistral Small · negative prompt · soft negative
“Excellent for leads/CRM but per-seat or per-video pricing explodes at scale (e.g., Wistia: $0.25/extra video)” Grok 4.1 Fast · negative prompt · soft negative
“Wistia recently hiked its prices significantly ... it is likely overkill for a startup budget.” Qwen 3.7 Flash · budget prompt · soft negative
“Best Overall for Marketing-Driven B2B ... for most mid-market B2B companies, Wistia provides the most comprehensive marketing automation and lead generation capabilities.” GLM 4.7 FlashX · direct prompt · first choice
“1. Wistia - Best for Marketing-Led Lead Generation ... Wistia provides superior marketing automation capabilities for teams with larger budgets.” Mistral Small · direct prompt · first choice
“Wistia – Best for Lead Generation & Marketing Automation ... Wistia or Vimeo for conversion-focused videos on your own site” Kimi K2 · comparative prompt · first choice
What the models said about Gumlet
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Lack Wistia's marketing-specific tools (e.g., no deep heatmaps/forms).” Grok 4.1 Fast · direct prompt · soft negative
“"Goldilocks" middle path—strong security, modern streaming tech, and analytics that plug into your existing stack without enterprise complexity.” Mistral Small · paraphrase prompt · first choice
“An incredibly affordable, modern video infrastructure host that offers premium features for a fraction of the cost.” Gemini 3.5 Flash · budget prompt · first choice
“Gumlet | Secure business hosting | Full security stack (DRM, domain locking, geo-fencing) from $25/month” Kimi K2 · negative 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.