Wistia vs Vidyard
Twelve of fourteen models named Wistia first on the direct prompt; zero named Vidyard. Both were named by all fourteen models and Wistia carries 74 labels and Vidyard 50, so the shares are not directly comparable.
Cambridge, United States, founded 2006. Named in three categories this edition.
Kitchener, Canada, founded 2011. Named in two 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 video marketing and hosting page.
By framing
WistiaFirst choices, of fourteen modelsVidyard
Across every category in the October 2026 Edition, Wistia and Vidyard were named in the same answer 145 times, of the 231 answers naming Wistia and the 152 naming Vidyard. In those answers Vidyard took the first choice twelve times and Wistia seventy-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 4.20 | | | | | | |
| 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 | | | | | |
Wistia Vidyard first choice named as an alternative argued againstblank: not namedEach cell is one answer, Wistia on the left and Vidyard on the right.The direct prompt
Wistia first, Vidyard an alternative
12 of 14 modelsVidyard was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 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
Wistia55%#1 of 6Vidyard12%#3 of 6What 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.
“gives you a cleaner embed and better analytics than YouTube, but the free plan is tightly limited” Muse Glimmer 30B · negative prompt · soft negative
“Wistia starts at $79/mo for marketing features, so it's usually too steep for a limited budget.” Muse Glimmer 30B · budget prompt · soft negative
“it often exceeds the "limited budget" cap for early-stage companies” Qwen 3.7 Flash · budget prompt · soft negative
“Built specifically for marketing\u2014features like Turnstile email collector... Ideal for: Businesses focused on converting viewers into leads” MiniMax M2.5 · comparative prompt · first choice
“Wistia | Marketers who want deep analytics & lead‑gen tools | CTA overlays, email gating, heatmaps, clean embed, strong SEO” MiniMax M2.5 · scale prompt · first choice
“I'd suggest starting with YouTube (if cost is the primary concern) or Wistia (if you need marketing-specific features)” MiniMax M2.5 · budget prompt · first choice
What the models said about Vidyard
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Wistia and Vidyard are the strongest choices when the goal is capturing leads and measuring viewer behavior.” Perplexity Sonar · comparative prompt · first choice
“the best business video hosting and analytics tool for a mid-sized B2B company would be Vidyard or Wistia” Llama 4 Maverick · paraphrase prompt · first choice
“Wistia or Vidyard are strong\u2014but watch Wistia's overage math and Vidyard's per-seat costs” Kimi K2 · scale 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.