Model comparison
Jamba Large 1.7 vs o3
Capability radar, value bars, and side-by-side posture.
Jamba Large 1.7
Not scored
value score
o3
93
value score
Jamba Large 1.7 ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | Jamba Large 1.7 | o3 |
|---|---|---|
| Developer | AI21 Labs | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | Jamba Large 1.7 is AI21 Labs' open-weight, long-context enterprise LLM built on a hybrid SSM-Transformer (Mamba-Transformer) architecture with 398B total parameters (94B active) and a 256K-token context window. It is designed for grounded text generation, long-document understanding, and tool- and structured-output workflows in enterprise settings such as legal, finance, and healthcare. | OpenAI reasoning model focused on hard problems. |