Ultravox vs Flowise
A detailed comparison to help you choose between Ultravox and Flowise.
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Verdict: Flowise wins
Flowise scores 4.0/5, edging out Ultravox at 3.8/5. Developers and technical teams who want visual control over LLM pipelines and are happy to self-host or manage their own production runtime.
Ultravox Real-time, speech-native voice AI | Flowise Visual LLM app builder with drag and drop | |
|---|---|---|
| Rating | 3.8 (1 review) | 4.0 (1 review) |
| Pricing Model | paid | freemium |
| Starting Price | From $49/mo | Free tier available |
| Best For | Engineering teams building latency-sensitive voice agents who want a speech-native conversation layer with clean APIs rather than a stitched cascade. | Developers and technical teams who want visual control over LLM pipelines and are happy to self-host or manage their own production runtime. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | team featuresapi access | open sourceno code |
| Visit Ultravox → | Visit Flowise → |
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
Flowise
Pros
- + Node canvas gives LangChain-level control over retrieval, agents, and tools without writing code — my retrieval agent took one sitting
- + Self-host path is real: npm or Docker, minutes to localhost:3000, Apache 2.0 core license
- + Human-in-the-loop review nodes make the agents-propose-humans-release pattern easy to wire
- + Wide model and vector-store support (100+ LLMs, embeddings, vector DBs per the vendor) keeps you off proprietary lock-in
- + Evaluations, metrics, and run observability are built into the builder rather than bolted on
Cons
- - Node picker presumes you understand embeddings, chains, and retrieval strategies — beginners are lost quickly
- - Production self-host means doing your own persistence, secrets, queue/workers, and uptime — time not visible in the free price
- - Enterprise identity and permission features live under a commercial license inside the same repo
- - Cloud free tier (100 predictions/month) is too small to judge real performance
- - Fast-moving node surface and uneven community templates mean upgrades can break flows
Frequently Asked Questions
Which is better, Ultravox or Flowise?▼
Flowise scores higher at 4.0/5 vs 3.8/5 for Ultravox, making it the better-rated option in our comparison.
What is the difference between Ultravox and Flowise?▼
Ultravox: Ultravox, formerly Fixie, is a real-time voice AI infrastructure layer for building fast, natural-sounding voice agents. Flowise: Flowise is an open-source visual builder for LLM applications and agents, wiring models, tools and data sources together on a canvas.
Is Ultravox or Flowise more affordable?▼
Ultravox starts at €49/mo, Flowise starts at €0/mo. Check the comparison table above for current pricing.
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