On 2026-10-13 Fish Audio launched Drama 3, a TTS model directed with plain-language bracket tags, open weights on Hugging Face, and API header model: drama-3. The backbone is a ~35B MoE (~3B active per token, initialized from Qwen3.5-35B-A3B's language tower) with a codebook-MTP audio decoder and preference-model RL. Independent Artificial Analysis Pronunciation Robustness: 93.2% vs 88.1% for S2.1 Pro; 83 languages and up to 16 speakers; Community License free for commercial use under US$500k annual revenue. Launch promo through Nov 12: about $10 per million characters on the API.

Key Takeaways

  • ✓Open weights on Hugging Face fishaudio/drama-3 under Community License v1.0 (free commercial use under US$500k ARR; no non-consensual voice cloning)
  • ✓Architecture: 35B MoE / ~3B active; hybrid attention (1 full-attn layer per 4); codebook-MTP decoder over 10 codebooks; initialized from Qwen3.5-35B-A3B LM
  • ✓Benchmarks: Artificial Analysis Pronunciation Robustness 93.2% (#1) vs S2.1 Pro 88.1%; brand/place/tech names 95.9%, context-dependent readings 95.3%
  • ✓Vendor H200 streaming: 271 frames/s single stream; concurrency-1 TTFA p50 88.9 ms; concurrency 16 ~927 frames/s, RTF 0.373
  • ✓Ship: API POST /v1/tts with model: drama-3; self-host via SGLang-Omni (sgl-omni serve --model-path fishaudio/drama-3, typically ≥48GB NVIDIA VRAM)
Fish Audio ships Drama 3: open-weight 35B MoE TTS with word-level emotion direction, #1 on Artificial Analysis Pronunciation Robustness at 93.2%
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In-Depth Technical Analysis

Fish Audio launched Drama 3 on 2026-10-13 as an open-weight TTS model you direct with plain-language bracket tags (for example [barely holding it together]), available in the product, apps, and API (model: drama-3). The backbone is a ~35B MoE with ~3B active parameters per token (top-8 of 256 experts plus a shared expert), initialized from the Qwen3.5-35B-A3B language tower, with hybrid attention (blocks of three Gated DeltaNet layers plus one gated full-attention layer) and a codebook-MTP decoder that predicts ten acoustic codebooks causally while feeding only codebooks 0–1 back into the backbone. Post-training uses a single human-preference reward under GRPO without rule-based ASR/similarity rewards that previously punished laughs and whispers. Independent Artificial Analysis Pronunciation Robustness: 93.2% overall (#1) vs 88.1% for S2.1 Pro, with strong gains on brand/place/tech names (95.9%) and context-dependent readings (95.3%). Vendor H200 streaming: 271 frames/s single stream vs ~177 for S2; concurrency-1 TTFA p50 88.9 ms; concurrency 16 ~927 frames/s at RTF 0.373. Weights: huggingface.co/fishaudio/drama-3 under the Fish Audio Community License (free commercial use under US$500k ARR). Self-host with SGLang-Omni; launch API promo ~$10 per million characters through Nov 12. Technical report: arXiv:2610.18010.

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