No-code-friendly platform for building AI phone agents that handle customer service and sales calls, with drag-and-drop configuration.
Best alternatives to Vapi in 2026
Building a voice agent that can actually answer a phone call means connecting several separate pieces — something to turn speech into text, something to decide what to say back, something to turn that back into speech, and a phone system to carry the call — and making sure the whole chain responds fast enough that the caller doesn't notice any lag. Vapi packages that entire chain into one developer platform, so building a voice agent looks more like configuring a service than assembling five different vendors. Vapi lets developers configure and deploy voice AI agents that combine speech-to-text, an LLM, text-to-speech and PSTN (regular phone network) telephony integration, with infrastructure aimed at sub-500ms response latency. It includes real-time call monitoring and analytics, AI guardrails to reduce hallucinated responses during a live call, and compliance certifications (SOC 2, HIPAA, PCI) for regulated use cases. Pricing on the Build tier is usage-based — around $0.05/minute for hosting plus $10 per concurrent line per month — with underlying model provider costs (for STT, the LLM, and TTS) either passed through or waived if you bring your own API keys; a Scale tier with annual contracts and negotiated per-minute rates is available for higher-volume enterprise customers.
Quick comparison of Vapi alternatives
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Support and sales teams in healthcare, financial services, insurance, logistics, retail and hospitality | — | |
| 2 | Développeurs d'applications IA sensibles à la latence d'inférence (temps réel, interactif) | — | |
| 3 | Équipes MLOps/plateforme déployant des modèles et agents IA en production sur plusieurs clouds | — | |
| 4 | Équipes voulant router leurs requêtes IA vers plusieurs fournisseurs via une seule intégration, avec gouvernance enterprise en option | — | |
| 5 | Équipes IA dans les secteurs régulés (finance, santé) ayant besoin de détection d'hallucination fiable | — | |
| 6 | Développeurs ajoutant une mémoire persistante à des agents ou chatbots IA | — | |
| 7 | Développeurs voulant construire et héberger eux-mêmes des agents IA à état persistant | — | |
| 8 | Équipes enterprise construisant des agents IA devant raisonner sur des faits qui évoluent dans le temps, notamment en secteurs régulés | — | |
| 9 | Développeurs et équipes produit intégrant génération d'image/vidéo/audio par IA sans gérer d'infrastructure GPU | — | |
| 10 | Équipes engineering et produit testant et surveillant la qualité d'applications LLM en production | — | |
| 11 | Enterprise organizations and foundation model builders needing multimodal data annotation | — | |
| 12 | AI developers, researchers and companies training and serving ML models without long procurement cycles | — |
- ✓ Drag-and-drop configuration, accessible to non-engineers
- ✓ ~600ms latency target for natural conversation
An AI inference API built specifically for speed — over 1,000 image, video, audio and language models served through one endpoint with sub-1-second latency and no cold starts.
- ✓ Latence d'inférence sub-1s annoncée, zéro cold start
- ✓ Catalogue de plus de 1000 modèles (image, vidéo, LLM, audio)
A control panel for getting AI models and agents from a developer's laptop into real production use — deployment, scaling, and governance — built to run on whichever cloud a company already uses instead of locking them into one.
- ✓ Cloud-agnostique — évite le lock-in sur un cloud unique
- ✓ Fondateurs et investisseurs de haut niveau
A single API endpoint that talks to 600+ AI models from 30+ providers, so switching from one AI model to another — or spreading requests across several for cost or reliability — doesn't mean rewriting your app's code.
- ✓ Une seule intégration pour 600+ modèles sur 30+ fournisseurs
- ✓ Markup fixe de 5%, sans abonnement ni frais de siège
A safety checker for AI systems that catches hallucinations, unsafe answers and factual mistakes before they reach a user, using its own purpose-built judge models instead of relying on a general-purpose LLM to grade itself.
- ✓ Modèles juges spécialisés au lieu d'auto-évaluation par un LLM générique
- ✓ Benchmarks open source vérifiables (FinanceBench, Lynx)
Gives AI chatbots and agents a real memory — so they remember what you told them last week — instead of forgetting everything the moment a conversation ends, the way most AI apps do by default.
- ✓ Fournisseur mémoire exclusif d'AWS Agent SDK
- ✓ Le plus adopté de sa catégorie (61k+ stars GitHub)
An open-source framework for building AI agents that keep their state and memory under your own control — self-hostable, built on academic research (MemGPT) — instead of relying on a third-party's hosted black box.
- ✓ Issu d'une recherche académique réelle (MemGPT, UC Berkeley)
- ✓ Open source Apache 2.0, self-hosting complet
Builds a living map of everything a user has told an AI agent over time — and how those facts connect and change — so the agent can pull up exactly the right context in under 200 milliseconds instead of re-reading an entire chat history.
- ✓ Graphe de connaissances temporel, capture l'évolution des faits dans le temps
- ✓ Récupération sub-200ms revendiquée à l'échelle enterprise
A marketplace of ready-to-call AI models for generating images, video, audio and 3D content — like an app store of generative AI models you access through a single API instead of hosting each model yourself.
- ✓ Catalogue de plus de 1000 modèles génératifs derrière une API unique
- ✓ Facturation uniquement sur les sorties réussies
A dashboard that tells you whether your AI feature is actually getting worse or better over time, built on top of a popular open-source testing library instead of asking you to guess from user complaints.
- ✓ Fondé sur DeepEval, librairie open source largement adoptée (17k+ stars)
- ✓ Review de traces accessible aux non-développeurs
Data annotation and evaluation platform that turns raw images, video, text and audio into labeled datasets for training and fine-tuning AI models.
- ✓ Multimodal annotation across images, video, text and audio
- ✓ Built-in integrations with major cloud data warehouses
Pay-by-the-second GPU cloud for training and running AI models, with no contracts and fast serverless cold starts.
- ✓ Self-serve with no contracts or minimum commitments
- ✓ Sub-200ms serverless cold starts
FAQ about Vapi alternatives
- What is the best alternative to Vapi in 2026?
- Based on our selection, Retell AI is the best alternative to Vapi in 2026. No-code-friendly platform for building AI phone agents that handle customer service and sales calls, with drag-and-drop configuration.. See our full ranking above to compare all options.
- Is Vapi free?
- Vapi is a paid tool. Several alternatives in our selection offer free or freemium versions.
- How many alternatives to Vapi are there?
- mySelectas has listed 12 alternatives to Vapi in the AI & Machine Learning category. Our selection is updated regularly to include the best options available.