GLM / Z.ai (Zhipu AI) vs Llama 4 (Meta)
Which one should you pick? Here's the full breakdown.
GLM / Z.ai (Zhipu AI)
Zhipu AI's open-weights family -- GLM-4.6 text flagship and GLM-4.6V multimodal, true MIT licensed
Llama 4 (Meta)
Meta's open-weights flagship family -- Scout (10M context), Maverick (multimodal 400B MoE), Behemoth in preview
| Category | GLM / Z.ai (Zhipu AI) | Llama 4 (Meta) |
|---|---|---|
| Ease of Use | 6.5 | 5.0 |
| Output Quality | 8.5 | 8.5 |
| Value | 9.0 | 9.0 |
| Features | 8.0 | 9.0 |
| Overall | 8.0 | 7.9 |
Pricing Comparison
| Feature | GLM / Z.ai (Zhipu AI) | Llama 4 (Meta) |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
GLM-4.6 vs Llama 4 Maverick (17B/400B MoE)
| Benchmark | GLM / Z.ai (Zhipu AI) | Llama 4 (Meta) |
|---|---|---|
| MMLU-Pro | 81.2% | 80.5% |
| GPQA Diamond | 74.5% | 69.8% |
| HumanEval | 89.1% | 88% |
Which Should You Pick?
Pick GLM / Z.ai (Zhipu AI) if...
- ✓Easier to use (6.5 vs 5)
- ✓Stronger on graduate-level science questions (+4.7% on GPQA Diamond)
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 Llama 4 (Meta) if...
- ✓More features (9 vs 8)
Developers and teams who need a permissively-licensed open-weights model with strong tooling, long context (Scout), or multimodal (Maverick). Safe default choice given the ecosystem.
Visit Llama 4 (Meta)Our Verdict
GLM / Z.ai (Zhipu AI) and Llama 4 (Meta) 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 Llama 4 (Meta) works best for developers and teams who need a permissively-licensed open-weights model with strong tooling, long context (scout), or multimodal (maverick).