Cohere Command A vs GLM / Z.ai (Zhipu AI)
Which one should you pick? Here's the full breakdown.
Cohere Command A
Cohere's enterprise-multilingual flagship -- 111B params, 256K context, runs on 2x H100. 23 languages. CC-BY-NC 4.0 on weights (research / non-commercial), commercial requires Cohere enterprise contract. Follow-ups: Command A Reasoning + Command A Vision
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
| Category | Cohere Command A | GLM / Z.ai (Zhipu AI) |
|---|---|---|
| Ease of Use | 6.5 | 6.5 |
| Output Quality | 8.5 | 8.5 |
| Value | 7.0 | 9.0 |
| Features | 8.0 | 8.0 |
| Overall | 7.5 | 8.0 |
Pricing Comparison
| Feature | Cohere Command A | GLM / Z.ai (Zhipu AI) |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
GLM-5.1 (744B MoE / 40B active) benchmarks — Cohere Command A 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 Cohere Command A if...
Mid-size to large enterprises needing a multilingual open-weight model with low-ish infrastructure requirements (2x H100 for full model). Especially good for retrieval-augmented generation over internal document stores, multi-language customer support, and workflows touching Asian / Middle Eastern / African languages where Command A's coverage materially beats Llama or Mistral. Also a strong pick for teams already in Cohere's enterprise ecosystem.
Visit Cohere Command APick GLM / Z.ai (Zhipu AI) if...
- ✓Better value for money (9/10)
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)Our Verdict
GLM / Z.ai (Zhipu AI) edges out Cohere Command A with a 8.0 vs 7.5 overall score. Both are solid picks, but GLM / Z.ai (Zhipu AI) has the advantage in value.