Qwen (Alibaba) vs Microsoft MAI-Transcribe-1

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

Our Pick

Qwen (Alibaba)

A
8.8/10

Alibaba's open-weights + API family -- Qwen 3.6-Plus (Mar 30 2026, 1M context + always-on CoT + agentic tool-use), Qwen3.5 Small (2B runs on iPhone, 9B matches 120B-class models), plus Qwen3.5-Omni native multimodal. Apache 2.0 on the open sizes

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

CategoryQwen (Alibaba)Microsoft MAI-Transcribe-1
Ease of Use7.06.0
Output Quality9.09.5
Value10.09.0
Features9.07.0
Overall8.87.9

Pricing Comparison

FeatureQwen (Alibaba)Microsoft MAI-Transcribe-1
Free TierYesYes
Starting Price$0$0.36

Benchmark Head-to-Head

Qwen3.5-397B MoE benchmarks — Microsoft MAI-Transcribe-1 has no published benchmarks

BenchmarkScore
MMLU-Pro83.5%
GPQA Diamond78.2%
AIME 202587%
HumanEval92.5%
SWE-Bench Verified69.4%

Which Should You Pick?

Pick Qwen (Alibaba) if...

  • Easier to use (7 vs 6)
  • Better value for money (10/10)
  • More features (9 vs 7)

Developers who want frontier-tier open weights with Apache 2.0 licensing. Qwen3-Coder-Next is arguably the best local coding model; Qwen3.5-397B is a top-3 open generalist.

Visit Qwen (Alibaba)

Pick Microsoft MAI-Transcribe-1 if...

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

Qwen (Alibaba) edges out Microsoft MAI-Transcribe-1 with a 8.8 vs 7.9 overall score. Both are solid picks, but Qwen (Alibaba) has the advantage in value.