Jamba Large 1.7

ai21

Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context window, it delivers more accurate, contextually grounded responses and better steerability than previous versions.

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Capabilities

Tool Use

Example Use Cases

Long context with tool use

Grounded factual responses

Instruction-following with large context

Technical Specifications

Context Window

256,000 tokens

Max Output

4,096 tokens

Cache Miss Cost

$2 per 1M tokens

Non-Reasoning Cost

$8 per 1M tokens

Web Search Cost

$15 per 1K calls

Code Execution Cost

$0.19 per 1K calls

⚠️ Legacy

Made legacy on

Reason

Untested

Recommended Replacement

Qwen3.5 Plus