Hunyuan 3 (Tencent Hy3) vs Cohere Transcribe

Which one should you pick? Here's the full breakdown.

Our Pick

Hunyuan 3 (Tencent Hy3)

A
8.1/10

Tencent's Hy3 Preview launched 2026-04-23 -- 295B total / 21B active MoE, 256K context, open-sourced on HuggingFace under tencent/Hy3-preview. Cheapest frontier-class API at ~1.2 RMB per million input tokens. Integrated into Yuanbao, WeChat, QQ

Cohere Transcribe

A
8.0/10

Cohere's first audio model -- launched 2026-03-26 under Apache 2.0, 2B parameters, #1 on Hugging Face Open ASR Leaderboard (5.42 avg WER), 14 enterprise-critical languages. Free API with rate limits; Model Vault for production

CategoryHunyuan 3 (Tencent Hy3)Cohere Transcribe
Ease of Use7.07.0
Output Quality8.09.0
Value9.59.0
Features8.07.0
Overall8.18.0

Pricing Comparison

FeatureHunyuan 3 (Tencent Hy3)Cohere Transcribe
Free TierYesYes
Starting Price$0$0

Which Should You Pick?

Pick Hunyuan 3 (Tencent Hy3) if...

  • More features (8 vs 7)

Chinese-market builders, multilingual products that need strong CN performance, and cost-sensitive developers who want frontier-class quality at sub-DeepSeek pricing. Also anyone watching the open-weights field who wants Tencent's distribution-backed entry on the bench.

Visit Hunyuan 3 (Tencent Hy3)

Pick Cohere Transcribe if...

  • Higher output quality (9 vs 8)

Enterprise teams transcribing English, European, and major APAC languages at scale who want open weights they can self-host, fine-tune, or deploy on-prem. The Apache 2.0 license removes a major procurement blocker compared to proprietary ASR, and the accuracy tier is now best-in-class for open models.

Visit Cohere Transcribe

Our Verdict

Hunyuan 3 (Tencent Hy3) and Cohere Transcribe are extremely close overall. Your choice comes down to specific needs -- Hunyuan 3 (Tencent Hy3) is better for chinese-market builders, multilingual products that need strong cn performance, and cost-sensitive developers who want frontier-class quality at sub-deepseek pricing, while Cohere Transcribe works best for enterprise teams transcribing english, european, and major apac languages at scale who want open weights they can self-host, fine-tune, or deploy on-prem.