GLM / Z.ai (Zhipu AI) vs Microsoft MAI-Transcribe-1
Which one should you pick? Here's the full breakdown.
GLM / Z.ai (Zhipu AI)
Zhipu AI's open-weights family -- GLM-5.1 (launched 2026-04-07) is 744B MoE / 40B active, topped SWE-Bench Pro at 58.4 (beating GPT-5.4 and Claude Opus 4.6), MIT licensed, 200K context. Trained entirely on 100K Huawei Ascend 910B chips -- first frontier model with zero Nvidia in the training stack
Microsoft MAI-Transcribe-1
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
| Category | GLM / Z.ai (Zhipu AI) | Microsoft MAI-Transcribe-1 |
|---|---|---|
| Ease of Use | 6.5 | 6.0 |
| Output Quality | 8.5 | 9.5 |
| Value | 9.0 | 9.0 |
| Features | 8.0 | 7.0 |
| Overall | 8.0 | 7.9 |
Pricing Comparison
| Feature | GLM / Z.ai (Zhipu AI) | Microsoft MAI-Transcribe-1 |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0.36 |
Benchmark Head-to-Head
GLM-5.1 (744B MoE / 40B active) benchmarks — Microsoft MAI-Transcribe-1 has no published benchmarks
| Benchmark | Description | Score |
|---|---|---|
| SWE-Bench Pro | 58.4% | |
| MMLU-Pro | Harder multi-subject reasoning | 81.2% |
| GPQA Diamond | Graduate-level science questions | 74.5% |
| HumanEval | Python code generation | 89.1% |
| SWE-Bench Verified | 64.2% | |
| BFCL (function calling) | 88% |
Which Should You Pick?
Pick GLM / Z.ai (Zhipu AI) if...
- ✓More features (8 vs 7)
Teams that need genuine MIT-licensed frontier open weights with no commercial strings. Especially strong for agentic workflows and vision (GLM-4.6V).
Visit GLM / Z.ai (Zhipu AI)Pick Microsoft MAI-Transcribe-1 if...
- ✓Higher output quality (9.5 vs 8.5)
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-1Our Verdict
GLM / Z.ai (Zhipu AI) and Microsoft MAI-Transcribe-1 are extremely close overall. Your choice comes down to specific needs -- GLM / Z.ai (Zhipu AI) is better for teams that need genuine mit-licensed frontier open weights with no commercial strings, 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).