Side-by-side comparison of Gemma 4 E4B Instruct (Google DeepMind · United States) and Jamba 1.5 Large (AI21 Labs · Israel) for self-hosted deployment of the open-weight model. Gemma 4 E4B Instruct is rated conditional; Jamba 1.5 Large is conditional. They part ways on licence: Gemma 4 E4B Instruct is "Apache 2.0", Jamba 1.5 Large is "Jamba Open".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Based on published licence terms, Gemma 4 E4B is an edge-optimised multimodal variant under pure Apache 2.0 with no prohibited-use carve-outs. Audio input (30s) and on-device deployment push GDPR biometric, AI Act emotion-recognition, and Art. 25 data-protection-by-design obligations entirely onto the integrator with no Google-side telemetry or kill-switch. | Conditional SSM-Transformer hybrid (Mamba) with 256K context. Jamba Open Model License permits commercial use below $50M annual revenue; above that, paid licence required. Israel jurisdiction; EU adequacy decision in place. |
| Last reviewed | 2026-04-17 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | Jamba Open |
| Commercial use | Unrestricted | Under $50M rev. |
| Training data | Domain-level summary | Undisclosed |
| Origin | United States | Israel |
| Performance & pricing? | ||
| Quality index | 15/100 | 11/100 |
| Speed | — | — |
| Blended price | — | $3.50/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.