Best Video Calling APIs: A Buyer’s Comparison

Who This Comparison Is For

This page is for product managers, engineering leaders, and developers choosing video infrastructure for consultations, customer support, education, communities, or AI interactions. It also helps teams replacing an existing provider or adding video to a product that already has messaging.

For the underlying technical distinction, see Video SDK vs Video API: What’s the Difference?.

Best Video Calling APIs at a Glance

The “best for” descriptions below are starting points for evaluation, rather than a universal ranking.

Twelve Video Calling APIs to Consider

1. Zoom Video SDK

Best for: Teams wanting to build a custom video application using Zoom’s media infrastructure, with a choice of SDK integration or prebuilt interface components.

Zoom Video SDK supports video, audio, screen sharing, and in-session text chat. Its UI Toolkit provides a starting interface for developers who want to reduce the work involved in building call controls and layouts. Teams can choose between that starting point and a more customized SDK implementation.

Consider before choosing: The Video SDK is a distinct integration from embedding the familiar Zoom meeting experience. Its session chat does not establish a persistent conversation that users can return to outside the call. Evaluate the messaging layer separately if your product needs ongoing support threads, patient follow-up, or community discussions.

Sources: Video SDK documentation, in-session chat, and UI Toolkit.

2. Twilio Video

Best for: Teams building programmable video calls, particularly when Twilio already supplies other parts of their communication workflow.

Twilio Video provides web, iOS, and Android SDKs, alongside APIs for managing rooms, recordings, and compositions. Its documentation also covers screen sharing, network-quality monitoring, reconnection, and pre-call diagnostics. Persistent messaging is available through the separate Conversations product.

Twilio now documents a server-side Video Media SDK for Node.js that can support media processing and AI agents participating in rooms.

Consider before choosing: That Media SDK is currently in public beta, is not covered by Twilio’s standard SLA, and is explicitly not HIPAA eligible. Assess the eligibility and production status of the particular components you need, rather than applying Twilio Video’s general availability to every extension.

Sources: Twilio Video documentation and Media SDK status and capabilities.

3. 100ms

Best for: Teams building conferencing or live experiences that want configurable prebuilt interfaces alongside lower-level SDKs.

100ms provides SDKs and Prebuilt components for video applications, with features including screen sharing, in-room messaging, and transcription options. Its developer resources include migration guidance for teams moving from Twilio Video, which can help map existing call functionality to a new implementation.

Consider before choosing: Work out whether users only need to exchange messages during a session or need conversations that continue between calls. Treat room messaging and persistent chat as separate requirements. Also review feature restrictions for specialized configurations: 100ms documents a dedicated HIPAA workspace configuration, so an ordinary development workspace should not be assumed suitable for handling protected health information.

Sources: Twilio migration and feature guide and HIPAA workspace documentation.

4. Amazon Chime SDK

Best for: Teams already using AWS that want to assemble video, audio, and messaging into their existing application architecture.

Amazon Chime SDK supports programmable media sessions, content sharing, recording, and persistent messaging. Its messaging capabilities include channels, message history, retention policies, and moderation. AWS also documents integrations with services such as Amazon Transcribe and Amazon Lex for transcription and chatbot workflows.

Consider before choosing: This is a collection of building blocks, so evaluate the application work needed across identity, storage, messaging, and media. Price the supporting AWS services as well as the call itself. If regional processing matters, check availability for each service in the workflow; a supported media region does not necessarily establish the same availability for every related component.

Source: Amazon Chime SDK features.

5. Vonage Video API

Best for: Teams wanting programmable video sessions with recording, screen sharing, and a documented route to integrating external AI services.

Vonage Video API, formerly OpenTok, provides client SDKs and server APIs for building custom calls. Its signaling API lets developers exchange text and data between connected participants, supporting features such as in-session chat and reactions. Video and Audio Connector tooling provides routes for connecting session media to server-side processing and AI workflows.

Consider before choosing: Signaling is not a persistent messaging backend. Vonage’s broader Messages API serves external messaging channels and should not be presented as interchangeable with an in-app chat product. For AI, assess the orchestration, model integrations, and operational work your team will own, alongside the connector itself.

Sources: Video technical overview, signaling, and Video Connector.

6. LiveKit

Best for: Teams building custom real-time AI agents that need to participate in voice or video interactions.

LiveKit combines real-time media infrastructure with its Agents framework and managed cloud services. Its agent tooling supports connecting speech and language models, handling conversational interruptions, and deploying agent workloads. That makes it a relevant shortlist option when the agent’s behavior during a live interaction is central to the product.

Consider before choosing: The framework does not eliminate responsibility for agent instructions, tools, model selection, evaluation, and application behavior. If users also need ongoing human conversations with retained message history, include those requirements in the architecture rather than assuming live-session transport supplies a full chat service. Compare the complete agent workflow, including inference and deployment costs.

Source: LiveKit platform overview.

7. Daily

Best for: Teams wanting an embedded video experience, with an additional path to custom conversational AI through Pipecat.

Daily offers a Video SDK and a Prebuilt call interface, so it can support both custom applications and implementations that start from an existing call UI. Daily also maintains Pipecat, a vendor-neutral framework for real-time voice and multimodal AI, and provides Pipecat Cloud for hosting agent workloads.

Consider before choosing: Choose the implementation path that matches the product. Embedding a human-to-human call through Prebuilt is different from building an agent pipeline with Pipecat. An AI framework still requires decisions about models, tools, and interaction behavior. Assess persistent messaging separately if the conversation needs to continue after the video session ends.

Sources: Daily platform overview and Daily Prebuilt.

8. Agora

Best for: Teams needing several real-time communication services, potentially including conversational AI and avatars.

Agora’s platform spans video, voice, chat, and conversational AI. Its Conversational AI offering provides a route to voice-driven agent experiences, while separate communication products support human interactions. This breadth makes Agora relevant for products with several interaction formats, such as live communities, education, and AI-assisted experiences.

Consider before choosing: Build a product-by-product requirements list before estimating cost. Video, persistent chat, recording, and AI can involve different services and commercial terms. Clarify which capabilities are included in your chosen integration and which require additional products. A broad platform can cover more requirements, but that does not automatically mean one implementation or one billing unit covers them all.

Source: Agora platform and product overview.

9. Stream

Best for: Teams building products where persistent messaging and video are both important parts of the user experience.

Stream offers dedicated Chat and Video products, with video SDKs for web, mobile, and cross-platform development. Its video tooling includes call-quality insights and adaptive media handling. For AI, its Chat AI SDK connects external models to assistants in chat channels; Stream also links to Vision Agents for live media agent development.

Consider before choosing: Specify which AI interaction you need. A bot replying inside a chat channel and an agent seeing or hearing a live call require different implementations. Compare chat and video pricing separately, and test the combined workflow with your authentication, notifications, and conversation history rather than evaluating each demo in isolation.

Sources: Stream Video, Chat AI SDK, and Vision Agents.

For a side-by-side comparison of chat, video and AI capabilities, see QuickBlox vs Stream.

10. CometChat

Best for: Teams wanting in-app messaging and calling with prebuilt UI options and an associated AI agent platform.

CometChat offers chat, voice, and video capabilities, with prebuilt interfaces and features such as screen sharing, recording, and transcription. Its AI Agent Platform supports building agents in-platform or connecting existing agents. CometChat also documents an on-premises deployment option for organizations needing greater infrastructure control.

Consider before choosing: Confirm the scope of your proposed package across communication, AI, and deployment. In particular, ask which components are supported in a customer-operated environment, how upgrades and support work, and what additional services remain external. Healthcare buyers should confirm BAA coverage and eligible plans for their complete workflow before comparing headline prices.

Sources: CometChat product overview and on-premises deployment.

For a direct comparison of deployment, AI, and pricing, see QuickBlox vs CometChat.

11. ZEGOCLOUD

Best for: Teams wanting video, chat, and conversational AI options with prebuilt components for the application interface.

ZEGOCLOUD offers voice, video, in-app chat, and prebuilt UIKits. Its AI Agent documentation describes configurable personas, voices, avatars, and connections to language and speech services. Developers can evaluate the UIKit route for a quicker starting point or use SDKs and APIs for more customized interactions.

Consider before choosing: Test whether the selected UI components can support your required layouts, permissions, and workflows. Model costs across video, chat, AI, and support rather than treating the platform’s breadth as an inclusive price. For regulated use cases, verify the contractual coverage, processing locations, and retention behavior of every service carrying sensitive information.

Sources: ZEGOCLOUD product overview and AI Agent documentation.

12. QuickBlox

Best for: Teams wanting persistent chat, video calling, and AI-assisted communication workflows from one provider, with flexible deployment options.

QuickBlox combines chat SDKs, voice and video calling, UI Kits, and an AI Agent offering. Teams can build their own application or evaluate Q-Consultation as a white-label starting point for telehealth. Deployment options include managed hosting, a customer’s own cloud account, and on-premises infrastructure through Enterprise arrangements.

Consider before choosing: Peer-to-peer calling and conferencing have different infrastructure requirements. QuickBlox does not charge per minute, but conferencing requires a dedicated media server with monthly fees and bandwidth costs. Confirm the applicable plan, AI configuration, and BAA coverage for healthcare workflows. AI assistance across a conversation should not be assumed to mean an autonomous agent participating in live video.

Sources: QuickBlox video calling, pricing, AI Agent, and hosting options.

How to Compare Video Calling APIs

Use the same workflow and test conditions for every shortlisted provider. A polished demo establishes that a call works; your evaluation should establish whether it works within your product’s constraints.

Call features and participant model

List the features your users actually need: one-to-one or group calls, screen sharing, host controls, captions, recording, and transcription. Distinguish an interactive call from a broadcast with mostly passive viewers. Confirm participant limits, simultaneous video streams, and feature support on each target device.

SDK coverage and interface customization

Check official support for your exact stack, including browser, native mobile, React Native, or Flutter requirements. A supported platform does not guarantee identical features across SDKs. Test how much you can change the prebuilt interface, and what must be rebuilt when your workflow goes beyond the default layout.

Reliability and production support

Test each shortlisted SDK on poor networks, older devices and interrupted calls, and confirm whether beta features fall outside uptime commitments.

Messaging before and after the call

Decide whether messages only need to exist during a session or should remain available between calls. Persistent conversations may require history, attachments, notifications, search, and access controls. Identify whether the provider supplies that backend, offers it as a separate product, or leaves it to your application.

The specific role of AI

Separate three requirements: transcription or summaries, assistants responding in chat, and agents participating in live media. Ask for a demonstration of your intended interaction. Establish who configures the agent, hosts it, connects its models, and monitors its behavior; the label “AI-enabled” does not answer those questions.

Security and deployment

Review authentication, participant permissions, recording access, retention, and processing locations. For healthcare, confirm a signed BAA and the eligible services it covers. For customer-cloud or on-premises requirements, establish which components can run there and whether AI processing or other dependencies use external services.

How Much Do Video Calling APIs Cost?

Compare estimated monthly costs using the same workload, rather than comparing the lowest advertised rate.

Participant-minutes are a common unit for video. A 20-minute call with two participants produces 40 participant-minutes; the same call with five participants produces 100. Multiply expected call volume by duration and average attendance before applying rates and volume tiers.

User-based subscriptions may measure monthly active users or total registered users. These are different: an account that never joins a call may still count toward a registered-user allowance. Check the definition, included usage, and overage rules.

AI charges can sit alongside communication costs. Depending on the implementation, your estimate may need agent hosting, speech recognition, speech generation, and model inference. Determine whether these are bundled, metered by the platform, or billed by external providers.

Include the extras that your production workflow requires:

• Recording, composition, storage, and transcription.
• Bandwidth, media servers, and regional infrastructure.
• Persistent messaging and file retention.
• Support, uptime commitments, and compliance-related plans.
• Minimum commitments, overages, and implementation costs.

QuickBlox’s pricing uses subscription tiers based on total registered users rather than per-minute calling fees. Conferencing adds dedicated media-server and bandwidth costs, so its monthly estimate still needs to reflect the intended call architecture. See QuickBlox pricing for the published model.

Request a quote for both your expected workload and a higher-usage scenario. This shows how the bill changes as calls become longer, attendance grows, or recording and AI become more widely used.

Where QuickBlox Fits

QuickBlox is worth evaluating when video is part of an ongoing communication workflow: users message before a call, exchange files, join a consultation, and continue the conversation afterward. Its combination of communication tools, AI Agents, and deployment options can reduce the number of separate providers a team needs to integrate. For telehealth, Q-Consultation provides a white-label application starting point.

The fit depends on your architecture. If you only need a media layer for an existing application, compare that requirement directly against video-focused providers. If your main requirement is a live voice or video AI agent, evaluate dedicated agent tooling against that interaction. Healthcare teams should confirm the eligible hosting arrangement and BAA scope across the selected QuickBlox services, including any AI processing.

Explore QuickBlox’s video calling capabilities or contact the team to discuss the application, hosting, and workflow requirements.