Google Meet vs Zoho Meeting
Zero of fourteen models named Google Meet first on the direct prompt; zero named Zoho Meeting. Google Meet was named by fourteen of the fourteen models and Zoho Meeting by nine and Google Meet carries 68 labels and Zoho Meeting 11, so the shares are not directly comparable.
Named in one category this edition.
Named 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 video conferencing page.
By framing
Google MeetFirst choices, of fourteen modelsZoho Meeting
Across every category in the October 2026 Edition, Google Meet and Zoho Meeting were named in the same answer thirty-two times, of the 185 answers naming Google Meet and the 39 naming Zoho Meeting. In those answers Zoho Meeting took the first choice seven times and Google Meet seven.
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 | | | | | | |
| GPT-6 Luna | | | | | | |
| Muse Glimmer 30B | | | | |
Google Meet Zoho Meeting first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google Meet on the left and Zoho Meeting on the right.The direct prompt
Neither was the first choice, one was named
10 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 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
Zoho Meeting16%#3 of 10Google Meet12%#4 of 10Google Meet22%#3 of 9Zoho Meeting5%#4 of 9Google Meet0%#5 of 6Zoho Meeting0%#– of 6What the models said about Google Meet
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“No true end-to-end encryption for most meetings” Kimi K2 · negative prompt · hard negative
“Recordings and other meeting content may be stored, and work or school accounts can have organization-level access and controls.” GPT-6 Luna · negative prompt · soft negative
“the French government announced a complete phase-out and ban of Zoom, Microsoft Teams, and Google Meet for public officials” Gemini 3.5 Flash · negative prompt · soft negative
“For most small companies with limited budgets, Google Meet's free tier offers the best balance of features, reliability, and meeting duration” Kimi K2 · budget prompt · first choice
“Best All-In-One Value | Google Workspace | $6/user/mo | Video meetings, custom business email, and cloud storage combined.” Gemini 3.5 Flash · budget prompt · first choice
“Choose Google Meet if your team uses Gmail and Google Docs. It is the fastest, simplest tool for day-to-day meetings.” Gemini 3.5 Flash · comparative prompt · first choice
What the models said about Zoho Meeting
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“paid plans start at $1 per host/month when billed annually, making it a budget-friendly option for small businesses” Llama 4 Maverick · budget prompt · first choice
“making it one of the most budget-friendly options for small businesses” Mistral Small · budget prompt · first choice
“Best low-cost paid option: Zoho Meeting” 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.