LLM Reference

Jamba 1.5 Large

Released
2024-08-22
Last refreshed
2026-06-15
Status
Researched 106d ago
Open weightsCommercial use: conditionalRAGAgentsLong contextClassificationJSON / Tool use

Jamba 1.5 Large is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 256k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
Specifications
Family
Jamba 1.5
Released
2024-08-22
Context
256k
Parameters
398B (94B active)
Architecture
Decoder Only
Knowledge cutoff
2024-03
Specialization
general
Openness
Open weights
License
Jamba Open ModelCommercial use: conditional
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Developing AI for natural language understanding.

Tel Aviv, Israel
Founded 2017
Website
Pricing
Output / 1M
$8.00
Input / 1M
$2.00

Cheapest of 1 route · AWS Bedrock

About

Jamba 1.5 Large is AI21 Labs' Jamba 1.5 model. It offers a 256K-token context window.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
AWS Bedrock$2.00$8.00
Serverless

Available via routers & gateways(1)

Capabilities

JSON / Tool useStructured Outputs

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.