Miralas Voice Model Arena
Compare Miralas against leading voice AI systems using verified model capabilities — then plug in your own measured audio samples and internal benchmarks.
Miralas Core Architecture
Real-Time Audio Intelligence Demo
Interactive Voice Arena
Test and compare how different models handle complex user prompts in real-time conversation. Based on Full-Duplex-Bench-v3 scenarios.
“I'm considering a 900-square-foot indie coffee shop beside a commuter rail station. Give me a strategic pre-mortem: if this fails after a year, what probably happened?”
Miralas
Chatterbox Multilingual V3 baseline + Miralas training
GPT-Realtime
OpenAI
Gemini 3.1 Flash Live
Grok Voice
xAI
Chatterbox Multilingual V3 Engine
Miralas uses Chatterbox Multilingual V3 as its open-source TTS baseline, then focuses its own training and evaluation work on languages and voices that matter to our users. The official V3 model is listed at 500M parameters and 23+ supported languages.
English
en • reference sample
Spanish
es • reference sample
Chinese
zh • reference sample
Hindi
hi • reference sample
Arabic
ar • reference sample
Japanese
ja • reference sample
Custom Voice Clones & Fine-Tuning
Train your proprietary voice models using 5 minutes of clean audio data with emotion preservation and speaker embedding stability.
Shahzoda — Custom Voice Pipeline
Dataset: 45 min • Status: Internal evaluation • Add measured MOS after your test run
Corporate Brand Voice — Acme Corp
Dataset: 120 min • Status: Fine-tuning • Metrics shown after internal evaluation
Live Performance Benchmarks
Continuous accuracy and latency testing against leading industry solutions. Data sourced from Artificial Analysis Speech-to-Speech Index, Full-Duplex-Bench-v3, and Trelis Research (2026).
Verified Capability Comparison
These are product/model capabilities documented by the vendors, not fabricated cross-vendor benchmark scores. For latency, MOS, WER and reasoning, run the same script, prompt, hardware and audio set across every model.
| Capability | Miralas | GPT-Realtime | Gemini 3.1 Live | Grok Voice |
|---|---|---|---|---|
| Realtime audio | ✓ | ✓ | ✓ | ✓ |
| Audio input/output | ✓ | ✓ | ✓ | ✓ |
| Voice cloning | ✓ | — | — | — |
| Open-source baseline | ✓ | — | — | — |
| Custom language training | ✓ | — | — | — |
| Uzbek-first training track | ✓ | — | — | — |
| WebRTC / realtime API | Internal | ✓ | Live API | Vendor API |
Real-Time System Metrics
Live telemetry from your Miralas endpoint. If the endpoint is unavailable, the page does not invent vendor metrics.
Audio Intelligence Accuracy
Time to First Byte (Latency)
Upcoming Languages & Expansion
Languages currently scaling in our regional training pipelines. Uzbek voice casting is now active.
English
Baseline / evaluation
Spanish
Baseline / evaluation
Chinese
Baseline / evaluation
Hindi
Baseline / evaluation
Arabic
Baseline / evaluation
Japanese
Baseline / evaluation
Uzbek
Miralas native-language training
Uzbek Voice Pipeline — Active Development
Uzbek is the core language research direction for Miralas. The goal is to build a native-quality training pipeline around Uzbek phoneme coverage, natural prosody, regional variation and code-switching. Replace this status with your real dataset and training telemetry as the pipeline progresses.