GLM / Z.ai (Zhipu AI) vs AI21 Jamba2
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
AI21 Jamba2
AI21 Labs' hybrid SSM-Transformer (Mamba-style) open-weight family -- Jamba2 launched 2026-01-08. Two sizes: 3B dense (runs on phones / laptops) and Jamba2 Mini MoE (12B active / 52B total). Apache 2.0, 256K context, mid-trained on 500B tokens
| Category | GLM / Z.ai (Zhipu AI) | AI21 Jamba2 |
|---|---|---|
| Ease of Use | 6.5 | 6.5 |
| Output Quality | 8.5 | 8.0 |
| Value | 9.0 | 9.0 |
| Features | 8.0 | 8.5 |
| Overall | 8.0 | 8.0 |
Pricing Comparison
| Feature | GLM / Z.ai (Zhipu AI) | AI21 Jamba2 |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
GLM-5.1 (744B MoE / 40B active) benchmarks — AI21 Jamba2 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...
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 AI21 Jamba2 if...
Developers building long-context RAG systems (256K context with manageable memory is the sweet spot), mobile/edge deployments where Jamba2 3B's hybrid efficiency shines, and teams that want to experiment with non-transformer architectures while staying in Apache-2.0 territory. Also good for Israeli + EU enterprise procurement where AI21's geography / GDPR posture matters.
Visit AI21 Jamba2Our Verdict
GLM / Z.ai (Zhipu AI) and AI21 Jamba2 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 AI21 Jamba2 works best for developers building long-context rag systems (256k context with manageable memory is the sweet spot), mobile/edge deployments where jamba2 3b's hybrid efficiency shines, and teams that want to experiment with non-transformer architectures while staying in apache-2.