Tools
Vectara Platform vs Voiceflow
Vectara Platform or Voiceflow? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In short
- Both: Choice of models, API, Builds agents and workflows, Search over your data, Traces and evaluates
- Only Vectara Platform states: Self-hosted, Runs models for you
Vectara Platform
Enterprise platform for building, deploying, and governing AI agents over business data.
Plans
30 Day Free Trial
Free
- 30 days to try Vectara
- 10,000 credits included
- All features included for 30 days
SaaS
- Starting at $100K/ year
- 1 SaaS Deployment
- 10,000,000 credits/year included with base platform package purchase
VPC
- Starting at $250K/ year
- 1 VPC Deployment (Any VPC)
- 100,000,000 credits/year included with base platform package purchase
On-prem
- Starting at $500K/ year
- 1 On-Premise Deployment
- 100,000,000 credits/year included with base platform package purchase
Prices checked 2026-09-24 by web search.
Capabilities
- Choice of models — “Vectara lets you apply the retrieval LLM that best fits your use case.” source
- Self-hosted — “Vectara is available as a service on-premises, within your VPC, or via SaaS.” source
- API — “One easy-to-use API to enable 100s of use cases” source
- Runs models for you — “Vectara's own RAG-optimized Generative LLM” source
- Builds agents and workflows — “Vectara provides the industry's highest accuracy and lowest hallucination rates.” source
- Search over your data — “Vectara employs agentic extraction from documents, neural and lexical search, knowledge re-ranking, and customized generation.” source
- Traces and evaluates — “Vectara flips the script, providing granular observability and proactive Guardian Agents.” source
Latest updates
- LLM Token Quotas and Per-Agent Quotas
Cap input and output tokens per minute, UTC day, and UTC month for an LLM or agent.
- Confluence Ingests Attachments and Embedded Images
A Confluence pipeline source ingests page attachments as records and inlines images embedded in page bodies.
- Ingest Multiple S3 Prefixes in One Pipeline
An S3 pipeline source scopes ingestion with prefixes, a list of up to 100 key prefixes.
Voiceflow
Voiceflow helps teams build, test, deploy, and monitor AI agents for customer conversations across chat, voice, and other channels.
Plans
Not read from the maker’s page yet.
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Choice of models — “Use any AI vendor, including OpenAI and Anthropic, to power agent responses, logic, and actions.” source
- API — “Launch Agents with Voiceflow's web chat UI or any custom interface using the Dialog API.” source
- Builds agents and workflows — “Teams use Voiceflow as a central collaborative platform to build, launch, and scale AI Agents for any use case.” source
- Search over your data — “Build a knowledge base Import data and documents to the Knowledge Base to allow Agents to respond using curated data.” source
- Traces and evaluates — “LLM-powered evaluations give you custom insights at scale, helping teams make faster decisions about agent iterations.” source
Security
- SOC 2 Type II — “SOC 2 Type II” source
- SOC 2 — “SOC 2 Type II” source
- ISO 27001 — “ISO 27001” source
- GDPR — “GDPR View compliance” source
- HIPAA — “HIPAA View compliance” source
- Not trained on your data — “Voiceflow does not use customer data to train any machine learning or AI models.” source
Latest updates
- Live agent handoff
Users on all plans can add the Handoff step to a chat agent and route conversations to a live agent.
- Voiceflow Core 4.2 (4.2)
Voiceflow Core 4.2 has been released as the newest agent model; agents running 4.1 will move to 4.2 automatically.
- Instruction patching
Agent instructions, global prompts, and playbook instructions can be read, searched, and patched line by line through the API.