Relevance AI vs Ultravox
A detailed comparison to help you choose between Relevance AI and Ultravox.
How to choose
Neither tool has user reviews on ToolSpotter yet, so we don't pick a winner. Compare them on what they're built for: Relevance AI — Ops, sales, and support teams who want to deploy specialist AI agents and multi-agent processes without writing code or hiring engineers.; Ultravox — Engineering teams building latency-sensitive voice agents who want a speech-native conversation layer with clean APIs rather than a stitched cascade..
Relevance AI Build and deploy AI agents without coding | Ultravox Real-time, speech-native voice AI | |
|---|---|---|
| Rating | 3.8 (1 review) | 3.8 (1 review) |
| Pricing Model | freemium | paid |
| Starting Price | Free tier available | From $49/mo |
| Best For | Ops, sales, and support teams who want to deploy specialist AI agents and multi-agent processes without writing code or hiring engineers. | Engineering teams building latency-sensitive voice agents who want a speech-native conversation layer with clean APIs rather than a stitched cascade. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | no codeteam features | team featuresapi access |
| Visit Relevance AI → | Visit Ultravox → |
Relevance AI
Pros
- + Describe-to-build agent creation got me a working multi-step agent in an afternoon without code
- + Execution logs show exactly which tool runs burned Actions, which made cost pruning straightforward
- + Workforce layer (multi-agent processes with scheduling) produced more dependable output than any single agent
- + Free tier with 200 Actions/month is enough for a real pilot, not just a demo
- + 2,000+ integrations with premium connectors (LinkedIn, WhatsApp) on Team+
Cons
- - Dual billing — bundled Actions plus passed-through vendor credits — means plan price is never your total cost
- - Free plan keeps only 7 days of task history, which is useless for debugging a week-old misbehaviour
- - Complex branching and retry semantics are harder to express here than in code-based frameworks
- - Knowledge storage on entry tiers (10-100 MB) is too small for real document corpora
- - The vendor domain still serves conflicting legacy pricing ladders, which makes verification noisy
Ultravox
Pros
- + Speech-native model handled interruptions and overlaps without the cascade failure I have seen in STT/LLM/TTS stacks
- + Mid-call tool execution in my test paused and resumed speech without dead-air gaps
- + Transparent metered pricing: 30 free minutes then $0.05/min, verified by third-party price tracking in August 2026
- + Open model weights (fixie-ai/ultravox) allow self-hosting for teams that need model-level control
- + RAG corpora and custom voices are configuration steps, not build steps
Cons
- - Acquired by Inworld AI on 1 October 2026 — continuity is promised but the roadmap is unwritten
- - No free plan beyond the 30-minute allowance; sustained experimentation is paid
- - Developer-only product: no visual agent studio, no templates for non-engineers
- - Pay-as-you-go caps at 5 concurrent calls, which queued my parallel test calls
- - The hosted platform (scheduler, telephony, voice management) is where the value sits, so open weights are not a free substitute
Frequently Asked Questions
Which is better, Relevance AI or Ultravox?▼
What is the difference between Relevance AI and Ultravox?▼
Is Relevance AI or Ultravox more affordable?▼
Stay in the loop
Get weekly updates on the best new AI tools, deals, and comparisons.
No spam. Unsubscribe anytime.