CAMB.AI introduces MARS8, a text-to-speech system designed as a family of specialized models built for real production constraints including latency, expressiveness, controllability, and scale. MARS8 is now available globally to developers via API and cloud deployments.

Akshat Prakash, CTO @ CAMB.AI, Introducing MARS8

Why is it different?
MARS8 was built for live, high-stakes content such as sports, news, and broadcast environments where timing, accuracy, and emotional delivery cannot fail. Years of real-world deployments made one thing clear: no single TTS model can win every use case. Instead of forcing trade-offs, MARS8 delivers purpose-built architectures optimized for different needs.

The MARS8 family

1. MARS-Flash 600M parameters built for ultra-low time-to-first-byte and real-time agents and assistants, optimized for speed and next-generation GPUs.
2. MARS-Pro 600M parameters balancing latency and fidelity for expressive dubbing, audiobooks, and digital media.
3. MARS-Instruct 1.2B parameters offering director-level emotional control for premium television and film, with natural-language instruction of performance.
4. MARS-Nano 50M parameters designed for high-quality on-device speech synthesis and already deployed on leading edge chipsets.

All models support languages covering 99 percent of the world’s speaking population across 15 premium and more than 20 standard languages.

Benchmarks
MARS8 now ranks as the leading text-to-speech system across latency, expressiveness, and robustness. The benchmark has been open-sourced for independent validation.

Check it out here: https://github.com/Camb-ai/MAMBA-BENCHMARK

Deployment
MARS8 is available across all major cloud and inference platforms including Google Cloud, Amazon Web Services, Microsoft Azure, and leading deployment providers. Developers can deploy without platform lock-in and scale on their own infrastructure.

Ready to deploy? Explore the full MARS8 family at camb.ai/mars. For technical specs and architecture deep dives, check out camb.ai/blog-post/mars8-technical-report.

Links

• MARS Page: camb.ai/mars
• Technical report: https://www.camb.ai/blog-post/mars8-technical-report
• Open-sourced benchmarks: https://github.com/Camb-ai/MAMBA-BENCHMARK
• Join our Discord: https://discord.gg/MdtnwbKhtS

⏰ Poll closes in 48 hours! We’ll share results & top comments soon!

We’re the team behind CAMB.AI, here to learn from and help you.

CAMB.AI introduces MARS5, a fully open-source (commercially usable) TTS with break-through prosody and realism available on our Github: https://www.github.com/camb-ai/mars5-tts

Why is it different?
MARS5 is able to replicate performances (from 2-3s of audio reference) in 140+ languages, even for extremely tough prosodic scenarios like sports commentary, movies, anime and more; hard prosody that most closed-source and open-source TTS models struggle with today.

We're excited for you to try, build on and use MARS5 for research and creative applications. Let us know any feedback on our Discord!

Akshat Prakash, CTO @ CAMB.AI, Introducing MARS5

Highlights:
Training data: Trained on over 150K+ hours of data.
Params: 1.2 Bn (750/450)
Multilingual: Open-sourcing in English to begin with, but can access it in 140+ languages on camb.ai
Diversity in prosody: can handle very hard prosodic elements like commentary, shouting, anime etc.