# Simba Voice Agents

> Simba Voice Agents allows developers to build production voice agents using the Simba 3.2 model. It provides sub-100ms streaming-native audio with real emotion on the Speechify Developer Platform.

- Type: AI tool
- Page: https://completeaitraining.com/ai-tools/simba-voice-agents/
- Published: 2024-03-29
- Updated: 2026-07-14
- Author: Jeroen Erne
- Jobs: IT and development, Product development
- Topics: Text-To-Speech, API, Developer Tools
- Reading time: 2 min

### About Simba Voice Agents

Simba Voice Agents is a developer platform that lets teams build production voice agents using the Simba 3.2 model. It runs on Speechify's new developer API and comes with sub-100ms latency, streaming-native output, real emotion control, and SSML support. The same model already handles voice generation for Speechify's consumer apps, which are used by over 60 million people.

### Review

Simba Voice Agents is a fresh entry in the voice agent space, built around a model that currently ranks first on the Artificial Analysis leaderboard. The platform wraps that model in a REST API and first-party TypeScript and Python SDKs, making it straightforward to integrate into existing stacks. The launch is recent, so some pieces-like self-serve cloning for the latest model-aren't fully in place yet.

#### Key Features

- Sub-100ms streaming voice generation, with latency figures that Speechify attributes to its inference stack running on Baseten.
- Real emotion control and SSML markup for tuning tone, pacing, and pronunciation in agent responses.
- Voice cloning capabilities: self-serve for Simba 1.6 and 3.0 models, while 3.2 cloning is handled through Speechify's team to maintain quality.
- REST API plus first-party SDKs in TypeScript and Python, with documentation generated via Fern.
- Proven model lineage-Simba 3.2 is the same voice engine behind Speechify's consumer reading app, tested at scale on tens of millions of daily listeners.

#### Pricing and Value

The API charges $6 per 1 million characters, which is the lowest rate among the top ten models on the Voice Arena benchmark. Pricing for the agent platform itself beyond per-character usage hasn't been detailed yet. For developers who need high-quality voice at a per-call cost, the character-based pricing keeps expenses predictable without a large upfront commitment.

#### Pros

- Latency stays under 100ms, making it viable for real-time conversational agents that can't tolerate long pauses.
- Cost per character is lower than competitors in the same quality tier, which matters at production volume.
- SDKs in TypeScript and Python ship directly from the API spec, so they stay current with model updates.
- Emotion and SSML controls give fine-grained adjustments without needing separate post-processing steps.
- The model has already been hardened by consumer traffic, reducing the risk of unexpected behavior under load.

#### Cons

- Cloning for the flagship Simba 3.2 model isn't self-serve; you have to work with Speechify's team, which adds friction for teams wanting instant custom voices.
- Language support beyond English for the latest model is still in development, so multilingual agents may need to rely on the older Simba 3.0 model.
- Not well suited for teams that need fully offline or on-device voice processing, since everything runs through the cloud API.

Simba Voice Agents fits teams that already plan to use a cloud-hosted voice API and care about per-character costs at scale. Developers building real-time conversational apps where latency and emotional nuance matter will find the platform's current feature set directly applicable. Those who need a broad set of self-serve languages or fully local inference should check whether the roadmap aligns with their timeline before committing.

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