Hunyuan 3 (Tencent Hy3) vs Microsoft MAI-Transcribe-1

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

Microsoft MAI-Transcribe-1

B
7.9/10

Microsoft's first in-house speech-recognition model -- launched 2026-04-02. #1 on FLEURS WER overall, #1 by FLEURS WER in 11 of the top 25 global languages. Beats Whisper-large-v3, Scribe v2, GPT-Transcribe, Gemini 3.1 Flash-Lite. $0.36/hour of audio on Azure Foundry

CategoryHunyuan 3 (Tencent Hy3)Microsoft MAI-Transcribe-1
Ease of Use7.06.0
Output Quality8.09.5
Value9.59.0
Features8.07.0
Overall8.17.9

Pricing Comparison

FeatureHunyuan 3 (Tencent Hy3)Microsoft MAI-Transcribe-1
Free TierYesYes
Starting Price$0$0.36

Which Should You Pick?

Pick Hunyuan 3 (Tencent Hy3) if...

  • Easier to use (7 vs 6)
  • 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 Microsoft MAI-Transcribe-1 if...

  • Higher output quality (9.5 vs 8)

Developers and enterprises who need best-in-class multilingual speech-to-text for high-volume use cases (meeting recording pipelines, call-center transcription, accessibility captioning at scale, multilingual audio indexing). Especially relevant for Azure shops already on Microsoft infrastructure.

Visit Microsoft MAI-Transcribe-1

Our Verdict

Hunyuan 3 (Tencent Hy3) and Microsoft MAI-Transcribe-1 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 Microsoft MAI-Transcribe-1 works best for developers and enterprises who need best-in-class multilingual speech-to-text for high-volume use cases (meeting recording pipelines, call-center transcription, accessibility captioning at scale, multilingual audio indexing).