Model comparison
Jamba Large 1.7 vs GPT-5
Capability radar, value bars, and side-by-side posture.
Jamba Large 1.7
Not scored
value score
GPT-5
94
value score
Jamba Large 1.7 ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | Jamba Large 1.7 | GPT-5 |
|---|---|---|
| Developer | AI21 Labs | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| 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 frontier multimodal model. |