> **ALPHA — EXPERIMENTAL** > The inference engine (s2.cpp) is an early-stage, community-built project. Expect rough edges and breaking changes. Not production-ready. GGUF-quantized weights of Fish Audio S2 Pro, a high-quality multilingual text-to-speech model with voice cloning support, packaged for local inference with s2.cpp — a pure C++/GGML engine with no Python dependency. > **License:** Fish Audio Research License — free for research and non-commercial use. Commercial use requires a separate license from Fish Audio. See LICENSE.md and fish.audio.

Speech synthesis

Input Text→ Output Audio

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Cost analysis

Adjust monthly token usage to compare estimated API costs.

Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.

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Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.

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