GLM / Z.ai (Zhipu AI) vs Cohere Transcribe
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
Cohere Transcribe
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
| Category | GLM / Z.ai (Zhipu AI) | Cohere Transcribe |
|---|---|---|
| Ease of Use | 6.5 | 7.0 |
| Output Quality | 8.5 | 9.0 |
| Value | 9.0 | 9.0 |
| Features | 8.0 | 7.0 |
| Overall | 8.0 | 8.0 |
Pricing Comparison
| Feature | GLM / Z.ai (Zhipu AI) | Cohere Transcribe |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
GLM-5.1 (744B MoE / 40B active) benchmarks — Cohere Transcribe 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 Cohere Transcribe if...
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 TranscribeOur Verdict
GLM / Z.ai (Zhipu AI) and Cohere Transcribe 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 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.