Gemma 4 (Google) vs AI21 Jamba2
Which one should you pick? Here's the full breakdown.
Gemma 4 (Google)
Google DeepMind's open-weights model family -- multimodal, 256K context, runs on edge devices
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 | Gemma 4 (Google) | AI21 Jamba2 |
|---|---|---|
| Ease of Use | 7.0 | 6.5 |
| Output Quality | 8.0 | 8.0 |
| Value | 10.0 | 9.0 |
| Features | 8.0 | 8.5 |
| Overall | 8.3 | 8.0 |
Pricing Comparison
| Feature | Gemma 4 (Google) | AI21 Jamba2 |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
Gemma 4 31B benchmarks — AI21 Jamba2 has no published benchmarks
| Benchmark | Description | Score |
|---|---|---|
| MMLU | Knowledge across 57 subjects | 83% |
| GPQA Diamond | Graduate-level science questions | 84.3% |
| AIME 2026 | 89.2% | |
| HumanEval | Python code generation | 85% |
Which Should You Pick?
Pick Gemma 4 (Google) if...
- ✓Better value for money (10/10)
Developers and businesses who need a permissively licensed multimodal LLM they can self-host or fine-tune. Especially good for multilingual use cases and on-device deployment.
Visit Gemma 4 (Google)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
Gemma 4 (Google) edges out AI21 Jamba2 with a 8.3 vs 8.0 overall score. Both are solid picks, but Gemma 4 (Google) has the advantage in value.