TTS Cost Calculator
Compare API Text-to-Speech Costs vs Self-Hosted GPU — See Your Monthly Savings
Enter your monthly TTS usage and instantly compare what you’d pay with ElevenLabs, Google Cloud TTS, Amazon Polly, and OpenAI — versus a fixed-cost dedicated GPU server running open source models like Kokoro TTS, XTTS-v2, or Piper.
Why Use a TTS Cost Calculator?
Text-to-speech APIs charge per character, per request, or per minute of generated audio. At low volumes the costs are negligible — but once you’re generating audiobooks, voice agent responses, product narration, or automated customer calls at scale, API bills climb fast.
This calculator lets you plug in your actual monthly usage and see exactly what you’d pay across the major TTS providers — then compare that figure against the fixed monthly cost of a GigaGPU dedicated GPU server running open source models like Kokoro TTS, XTTS-v2, or Piper.
Most teams discover that self-hosting becomes cheaper after just a few hundred thousand characters per month — and for high-volume workloads the savings are substantial.
Enter your usage below — results update instantly. All prices in GBP.
TTS Cost Calculator
Enter your monthly text-to-speech usage below and compare API costs against a fixed-price dedicated GPU server.
Your Monthly Usage
Adjust the inputs to match your workload — the cost comparison updates automatically.
| Provider | Pricing Model | Monthly Cost | vs Self-Hosted |
|---|
TTS API Pricing Reference (2025)
Current pricing tiers for the most popular commercial text-to-speech APIs. All rates shown in USD per 1 million characters.
Prices sourced from provider documentation as of 2025. Actual rates may vary by region, plan, and volume commitments.
Recommended GPUs for Self-Hosted TTS
Every GigaGPU server includes full root access, NVMe storage, 128 GB RAM, and a 1 Gbps network port. Choose the GPU that matches your model and concurrency needs.
RTX 4060 Ti
16 GBBest value entry point. Runs Kokoro TTS, Piper, and MeloTTS comfortably. Good for single-voice production workloads up to moderate concurrency.
RTX 3090
24 GBMost popular for TTS. Runs XTTS-v2, Bark, Chatterbox TTS, and full voice agent stacks (ASR + LLM + TTS) on a single card with headroom to spare.
RTX 5090
32 GBBlackwell-generation speed. Ideal for low-latency realtime voice agents, high-concurrency TTS endpoints, or running large TTS models alongside an LLM.
How Self-Hosted TTS Works
Go from zero to unlimited text-to-speech on your own GPU in under an hour.
Order a GPU Server
Pick a server from the GigaGPU range. Your dedicated bare metal machine is provisioned in under an hour with the OS of your choice.
Install Your TTS Model
SSH in and install Kokoro TTS, XTTS-v2, Piper, or any other model. Most installs are a single pip install or Docker pull.
Expose an API Endpoint
Wrap your model in FastAPI or Flask, put it behind Nginx, and point your application at the new URL. Same interface — zero per-character fees.
Frequently Asked Questions
Common questions about TTS costs, self-hosting, and the calculator methodology.
Prices are sourced from each provider’s published pricing page as of 2025 and reflect standard or neural voice tiers. Some providers offer volume discounts or committed-use pricing that may lower the per-character rate — the calculator uses list prices as a baseline.
Yes. GigaGPU’s monthly price covers the full server — GPU, CPU, 128 GB RAM, NVMe storage, 1 Gbps port, and OS. There are no additional charges for bandwidth, electricity, or support. The only thing not included is your time setting up the TTS model, which typically takes 15–30 minutes.
Any model that runs on PyTorch, ONNX Runtime, or Hugging Face Transformers — including Kokoro TTS, XTTS-v2, Coqui TTS, Bark, Chatterbox TTS, Piper, Parler TTS, MeloTTS, and F5-TTS. Model compatibility depends on available VRAM.
It depends on the API you’re comparing against. For ElevenLabs (the most expensive), self-hosting on an RTX 4060 Ti at £79/month breaks even at around 330,000 characters per month. For OpenAI TTS at $15/1M, the crossover is around 6–7 million characters per month. The calculator shows the exact figures for your usage.
Yes. A typical voice agent pipeline (Whisper ASR + 7B LLM + Kokoro TTS) fits comfortably on a 24 GB RTX 3090. For larger LLMs, the 32 GB RTX 5090 or 96 GB RTX 6000 PRO provide more headroom.
Modern open source TTS models have closed much of the gap. Kokoro TTS and XTTS-v2 produce natural, expressive speech suitable for audiobooks, voice agents, and customer-facing applications. For the highest-fidelity use cases, we recommend testing with your specific content before migrating fully.
All GigaGPU servers are in UK data centres. Your audio is processed locally and never leaves your infrastructure — important for businesses with data residency or GDPR requirements.
Available on all servers
- 1Gbps Port
- NVMe Storage
- 128GB DDR4/DDR5
- Any OS
- 99.9% Uptime
- Root/Admin Access
Our dedicated GPU servers provide full hardware resources and a dedicated GPU card, ensuring unmatched performance and privacy. Perfect for self-hosting TTS models, voice agents, audiobook generation, and any other speech synthesis workload — with no per-character fees and no shared resources.
Get in Touch
Not sure which GPU is right for your TTS workload? Our team can help you choose the right configuration for your model, concurrency needs, and budget.
Contact Sales →Or browse the knowledgebase for TTS setup guides and tutorials.
Stop Paying Per Character for TTS
Fixed monthly pricing. Unlimited text-to-speech. UK data centre. Deploy Kokoro TTS, XTTS-v2, Piper and more in under an hour.
