Jais 13B
Jais 13B is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 2k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Jais
- Released
- 2023-10-13
- Context
- 2k
- Parameters
- 13B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 1 route · IBM watsonx
About
Jais 13B is an advanced, open-source bilingual large language model developed by Inception, MBZUAI, and Cerebras Systems, designed for Arabic and English language processing. It employs a transformer-based decoder-only architecture similar to GPT-3 and features 13 billion parameters. The model incorporates enhancements like SwiGLU non-linearity and ALiBi position embeddings to improve precision and context handling. Trained on a substantial dataset of 395 billion tokens—72 billion in Arabic and 279 billion in English/code—using the Condor Galaxy 1 supercomputer, Jais 13B outperforms other Arabic LLMs on benchmarks.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
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 |
|---|---|---|---|
| IBM watsonx | $1.80 | $1.80 | Serverless |
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Cheapest of 1 route · IBM watsonx