Side-by-side comparison of DeepSeek-V4-Pro (DeepSeek · China) and Jamba 1.5 Large (AI21 Labs · Israel) for self-hosted deployment of the open-weight model. DeepSeek-V4-Pro is rated conditional; Jamba 1.5 Large is conditional. They part ways on licence: DeepSeek-V4-Pro is "MIT", Jamba 1.5 Large is "Jamba Open".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per the published LICENSE file, DeepSeek-V4-Pro ships under MIT with no commercial restrictions, so the weights themselves are deployable. The caveats are non-EU jurisdiction and a training corpus described only by aggregate token count (32T+) without a dataset list — both should be documented in any GDPR or AI Act compliance file before regulated use. | 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 | 2026-04-28 | 2026-04-15 |
| Open-weight | ||
| Licence | MIT | Jamba Open |
| Commercial use | Unrestricted | Under $50M rev. |
| Training data | Categories only | Undisclosed |
| Origin | China | Israel |
| Performance & pricing? | ||
| Quality index | 52/100 | 11/100 |
| Speed | 36 tok/s | — |
| Blended price | $2.17/M | $3.50/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.