- 🔊 Alibaba's larger-scale Qwen 3 text-to-speech model
- 🎯 More natural voice output than the 0.6B variant
- 🏢 Part of Alibaba's broad Qwen multimodal lineup
- 🌍 Text-to-speech for synthetic voice generation
- ⚡ Higher parameter count for richer audio fidelity
Alibaba Group is a Chinese multinational technology company founded in 1999 and headquartered in Hangzhou, Zhejiang. Originally built around e-commerce and cloud computing, Alibaba has become one of the most prolific contributors to open-weight AI research, developing the Qwen…
Explore 51 more models by Alibaba Group →Qwen 3 TTS 1.7B is Alibaba's larger text-to-speech model in the Qwen 3 audio line, scaling up the architecture to deliver improved voice naturalness over its smaller counterpart, Qwen 3 TTS 0.6B. Released in March 2026 alongside that 0.6B variant, it sits at the higher-fidelity end of the two-model TTS pairing, trading some efficiency for smoother, more lifelike speech synthesis.
The model belongs to Alibaba's sprawling Qwen ecosystem, which spans text generation, vision-language, embeddings, image generation, and audio. Within that catalogue the Qwen 3 TTS pair handles the speech-synthesis role, complementing the company's broader multimodal ambitions across the Qwen, Wan, and related families. As the larger of the two TTS releases, it targets users who prioritize output quality over the lighter footprint of the 0.6B option.
In practice, Qwen 3 TTS 1.7B is best suited for applications where natural-sounding generated speech matters — voice assistants, narration, accessibility tooling, and content where audio polish carries weight. If latency and resource cost are the priority, the smaller variant remains the leaner choice; for richer voice quality, this is the model to reach for.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Qwen 3 TTS 1.7B · Organic sellers
| Seller | Health | Rep↓ | Sales | Routing | $ / 1M chars |
|---|---|---|---|---|---|
| ▲ Apex Ant 0x73b4…e736 | — | 81.71 | — | #2 | $56.25 |
| Venice.ai Proxy 0x1f22…18c9 | failingupstream error · 3.5 h | 86.84 | $0.14 | #1 | $61.875 |
"Best price" and the seller table are live Antseed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the Antseed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on Antseed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.