Table of Contents
Quick Verdict
Generating audiobook narration for 500 chapters overnight is the kind of batch TTS job where cost per minute of audio is everything. Coqui TTS generates at 6.3x real-time for $0.023/min, while Bark manages 5.3x at $0.093/min. That is a 4x cost gap — Coqui renders the same content for a quarter of Bark’s price on a dedicated GPU server.
Bark produces more expressive audio, which can be worth the premium for creative content. But for straightforward narration, tutorials, or accessibility voiceovers, Coqui’s cost advantage is overwhelming.
Full data below. More at the GPU comparisons hub.
Specs Comparison
Bark’s 350M parameters give it the expressiveness headroom, while Coqui’s lean 80M XTTS-v2 architecture optimises for speed and efficiency.
| Specification | Coqui TTS | Bark TTS |
|---|---|---|
| Parameters | ~80M (XTTS-v2) | ~350M |
| Architecture | GPT + Decoder | GPT-style autoregressive |
| Context Length | 24s audio | 15s audio |
| VRAM (FP16) | 2.5 GB | 4 GB |
| VRAM (INT4) | N/A | N/A |
| Licence | MPL 2.0 | MIT |
Guides: Coqui TTS VRAM requirements and Bark TTS VRAM requirements.
Batch Processing Benchmark
Tested on an NVIDIA RTX 3090 with default configurations and maximum batch utilisation. See our benchmark tool.
| Model (INT4) | Batch tok/s | Cost/M Tokens | GPU Utilisation | VRAM Used |
|---|---|---|---|---|
| Coqui TTS | 6.3x RT | $0.023/min | 88% | 2.5 GB |
| Bark TTS | 5.3x RT | $0.093/min | 84% | 4 GB |
Coqui achieves higher GPU utilisation (88% versus 84%) while running faster, indicating its architecture is better optimised for sustained batch processing. See our best GPU for LLM inference guide.
See also: Coqui TTS vs Bark TTS for Chatbot / Conversational AI for a related comparison.
See also: Coqui TTS vs Kokoro TTS for Cost-Optimised Batch Processing for a related comparison.
Cost Analysis
For a project generating 100 hours of audio content, Coqui costs £138 versus Bark’s £558. That £420 saving buys a lot of GPU time for other workloads.
| Cost Factor | Coqui TTS | Bark TTS |
|---|---|---|
| GPU Required | RTX 3090 (24 GB) | RTX 3090 (24 GB) |
| VRAM Used | 2.5 GB | 4 GB |
| Real-time Factor | 8.7x | 14.5x |
| Cost/hr Audio Processed | £0.08 | £0.03 |
See our cost calculator.
Recommendation
Choose Coqui TTS for standard batch audio generation: audiobooks, course narration, accessibility voiceovers, and IVR prompts. Its 4x lower cost and higher throughput make it the default for any volume-oriented TTS workload.
Choose Bark TTS for creative audio production where expressiveness, emotional range, and non-speech sounds justify the 4x cost premium — character dialogue, entertainment content, or marketing videos requiring varied vocal styles.
Schedule batch TTS overnight on dedicated GPU servers for maximum cost efficiency.
Deploy the Winner
Run Coqui TTS or Bark TTS on bare-metal GPU servers with full root access, no shared resources, and no token limits.
Browse GPU Servers
