Table of Contents
Kokoro TTS Benchmark Overview
Kokoro is a lightweight, high-quality text-to-speech model that delivers natural-sounding speech at a fraction of the compute cost of larger models like Bark or XTTS-v2. Its compact architecture makes it exceptionally fast, often achieving real-time or faster synthesis on modest hardware. For production TTS on a dedicated GPU server, Kokoro offers an outstanding speed-to-quality ratio.
Tests were run on GigaGPU servers measuring end-to-end latency for a standard 15-word English sentence. Kokoro needs under 1 GB of VRAM, running comfortably on every GPU tested. For other TTS benchmarks, see our TTS latency benchmarks hub.
Latency Results by GPU
| GPU | VRAM | Kokoro Latency (ms) | Notes |
|---|---|---|---|
| RTX 3050 | 6 GB | 180ms | Excellent for budget setups |
| RTX 4060 | 8 GB | 105ms | Very responsive |
| RTX 4060 Ti | 16 GB | 75ms | Near-instant |
| RTX 3090 | 24 GB | 52ms | Imperceptible delay |
| RTX 5080 | 16 GB | 35ms | Real-time ready |
| RTX 5090 | 32 GB | 22ms | Fastest tested |
Kokoro is dramatically faster than Bark across the board. The RTX 5090 at 22ms and even the RTX 3050 at 180ms deliver sub-200ms latency, making Kokoro suitable for real-time voice applications on virtually any GPU.
Sentence Length Impact
Unlike autoregressive models, Kokoro’s latency scales very efficiently with text length.
| Sentence Length | RTX 3090 (ms) | RTX 5090 (ms) |
|---|---|---|
| Short (8 words) | 32 | 14 |
| Medium (15 words) | 52 | 22 |
| Long (30 words) | 88 | 38 |
Even 30-word sentences stay under 100ms on the RTX 3090, making Kokoro excellent for streaming TTS applications where sentences are generated sequentially.
Cost Efficiency Analysis
| GPU | Latency (ms) | Approx. Monthly Cost | Gen/s per Pound |
|---|---|---|---|
| RTX 3050 | 180 | ~£45 | 0.123 |
| RTX 4060 | 105 | ~£60 | 0.159 |
| RTX 4060 Ti | 75 | ~£75 | 0.178 |
| RTX 3090 | 52 | ~£110 | 0.175 |
| RTX 5080 | 35 | ~£160 | 0.179 |
| RTX 5090 | 22 | ~£250 | 0.182 |
Cost efficiency is remarkably similar across higher-end GPUs, with the RTX 5090 edging ahead. For the best GPU for TTS, the RTX 4060 Ti is the budget champion given Kokoro’s minimal VRAM needs.
GPU Recommendations
- Budget: RTX 3050 — 180ms is already fast enough for most voice assistant applications.
- Best value: RTX 4060 Ti — 75ms latency at excellent cost efficiency.
- Real-time: RTX 5080 — 35ms enables seamless conversational AI experiences.
- Maximum throughput: RTX 5090 — 22ms supports high-concurrency production APIs.
For more expressive speech at higher latency, see the Bark TTS benchmark or the XTTS-v2 results. Browse all benchmarks in the Benchmarks category.
Conclusion
Kokoro TTS is the speed champion among open TTS models we have tested. Its minimal VRAM footprint and sub-100ms latency on mid-range GPUs make it the ideal choice for real-time voice applications, chatbot integrations, and high-volume TTS APIs on dedicated GPU servers.
Ultra-Low Latency TTS on Dedicated Hardware
Deploy Kokoro TTS on bare-metal GPU servers for real-time speech synthesis. Full root access and UK hosting.
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