🌐 “Multilingual” shouldn’t mean multi-system.
Yet most real-time speech stacks still look like this:
→ language detection service
→ per-language models
→ routing logic
→ latency you can’t explain
There’s a better way. 📈
Deepgram’s Flux Multilingual runs 10 languages in a single real-time stream — with:
✅ automatic language detection
✅ native code-switching
✅ language_hint biasing
✅ one model, one WebSocket
No routing layer. No model hopping. No duct tape.
If you’re building voice agents, this changes your architecture.
Read the technical deep dive ↓
Multilingual voice stacks usually chain language detection, per-language models, and routing logic, each adding latency you cannot account for. One model on one socket with native code switching collapses that path.
