Jamba Large 1.7
Released
2026-02-01
Last refreshed
2026-05-22
Status
Researched 105d ago
Open sourceCommercial use: permittedRAGAgentsLong contextClassificationJSON / Tool use
Jamba Large 1.7 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 1.7
- Released
- 2026-02-01
- Context
- 256k
- Parameters
- 398B (94B active)
- Architecture
- Decoder Only
- Knowledge cutoff
- 2024-08
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
- Training
- Pretrained
Created by
Pricing
Output / 1M
$8.00
Input / 1M
$2.00
Cheapest of 1 route · AI21 Studio
Links
About
Jamba Large 1.7 is AI21 Labs' latest hybrid Mamba-Transformer model offering improvements in grounding, instruction following, and structured output generation at 256K context.
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.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| AI21 Studio | $2.00 | $8.00 | Serverless |
Capabilities
JSON / Tool useStructured Outputs
Benchmark peer barsfor Classification
MMLU PRORank 86 of 105
Benchmark scores(2)
Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| Google-Proof Q&A | 39.0 | GPQA Diamond (accuracy)Observed 2026-06-07 | — | Source |
| MMLU PRO | 57.7 | Widely reported third-party evaluation (accuracy)Observed 2026-06-07 | — | Source |
Migration checks
No linked migration route is available for this model yet.
Created by
Pricing
Output / 1M
$8.00
Input / 1M
$2.00
Cheapest of 1 route · AI21 Studio
Links