Millis AI is a platform for building next-generation voice agents with ultra-low 600ms latency. It enables both developers and non-technical users to create and deploy human-like, affordable voice agents for inbound and outbound calls in minutes, with easy integration capabilities.
Vapi is a developer-first API platform for building, deploying, and scaling advanced, human-like voice AI agents. It enables the creation of sophisticated conversational AI for inbound/outbound calls, in-app assistants, and more, with ultra-low latency and high configurability.
Millis AI is a platform for building next-generation voice agents with ultra-low 600ms latency. It enables both developers and non-technical users to create and deploy human-like, affordable voice agents for inbound and outbound calls in minutes, with easy integration capabilities.
Vapi is a developer-first API platform for building, deploying, and scaling advanced, human-like voice AI agents. It enables the creation of sophisticated conversational AI for inbound/outbound calls, in-app assistants, and more, with ultra-low latency and high configurability.
| Feature | Millis AI | Vapi |
|---|---|---|
| Primary category | Voice Agents | Voice Assistant |
| Added | 2025-08-03 | 2025-08-17 |
| Pricing | Paid | Freemium |
| Official website | www.millis.ai | vapi.ai |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 7.8K | 974.8K |
| Monthly growth | -72.2% | -18.6% |
| Favorites | 157 | 139 |
| Details | View details | View details |
Compare Millis AI and Vapi by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the Millis AI vs Vapi monthly traffic comparison, Millis AI currently shows 7.8K visits and Vapi shows 974.8K; Vapi has about 124.3 times the visible traffic of Millis AI, an absolute difference of about 966.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 97.89% | 7.7K |
| 🇧🇷Brazil | 2.11% | 165 |
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 44.88% | 437.5K |
| 🇮🇳India | 27.05% | 263.7K |
| 🇬🇧United Kingdom | 15.24% | 148.6K |
| 🇳🇬Nigeria | 7.2% | 70.2K |
| 🇨🇦Canada | 5.63% | 54.9K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 80.3% | 782.7K |
| Referral | 16.41% | 160K |
| 3.29% | 32.1K |
This in-depth Millis AI vs Vapi comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Millis AI is primarily listed under “Voice Agents”, while Vapi is primarily listed under “Voice Assistant”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Millis AI: Voice Agents; Vapi: Voice Assistant); Pricing (Millis AI: Paid; Vapi: Freemium); Monthly visits (Millis AI: 7.8K; Vapi: 974.8K); Monthly growth (Millis AI: -72.2%; Vapi: -18.6%); Favorites (Millis AI: 157; Vapi: 139). These facts are more useful for selection than brand visibility alone.
In the Millis AI vs Vapi monthly traffic comparison, Millis AI currently shows 7.8K visits and Vapi shows 974.8K; Vapi has about 124.3 times the visible traffic of Millis AI, an absolute difference of about 966.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Vapi first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Millis AI and Vapi currently overlap in shared categories: Automation and Lead Generation; shared tags: API, automation, conversational AI, customer support, developer tools, outbound calls, and voice AI. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Millis AI's unique categories/tags are Voice Agents, Api, inbound calls, low latency, no-code, and voice agent; Vapi's are Voice Assistant, Api & Sdk, call center, llm, SDK, telephony, and text to speech. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
Millis AI has no verified rating, 0 comments, 157 favorites, and 140 likes；Vapi has no verified rating, 0 comments, 139 favorites, and 145 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put Millis AI on the priority trial list when the task aligns with “Voice Agents” and especially Voice Agents, Api, inbound calls, low latency, no-code, and voice agent. This follows recorded positioning and does not imply unlisted capabilities are absent.
Millis AI also currently records: pricing is paid, product type is website, 7.8K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
Put Vapi on the priority trial list when the task aligns with “Voice Assistant” and especially Voice Assistant, Api & Sdk, call center, llm, SDK, and telephony. This follows recorded positioning and does not imply unlisted capabilities are absent.
Vapi also currently records: pricing is freemium, product type is website, 974.8K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Millis AI and Vapi, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
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