IFM · Model release
Data as of October 15, 2026 · How the score is built
Jais-3-0.9B
Decision readingJais-3-0.9B is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Oct 15, 2026 — see all recent releases
Jais-3-0.9B will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Jais-3-0.9B-UnoJais-3-0.9B release history
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Radar
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- Weights model ID
- inception42/Jais-3-0.9BIFM model card
- Context window
- 128KIFM base model configuration
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- textIFM model card
- Output modalities
- textIFM model card
- Parameters
- Not sourced yet
- Availability
- Hugging Face · self-hosted inferenceIFM model card
- Cloud regions
- Not tracked yet
- Lifecycle
- activeIFM model card
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordIFM model card
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track Jais-3-0.9B, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.
Jais-3-0.9B is a open weight model with a 128K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Apache 2.0 weights for self-hosted Arabic and English text generation, with a 128K-token context window. IFM links vLLM and SGLang serving recipes; no exact first-party hosted token price is established.
IFM publishes Arabic and English reasoning weights under Apache 2.0. The model card uses High reasoning effort. Arabic results use provider-audited or translated tests and are not mapped to standard MMLU, GSM8K, IFEval, or long-context lanes. GDPval at a 75% threshold, text-only Apex-Agents subsets, WildClawBench, Arabic GAIA, and BrowseComp variants remain outside compatible score fields. The source-linked agentic rows are provider-reported. The card reports 70.4% on its cleaned Arabic MMLU set; this is not a standard MMLU score.
Jais-3-0.9B sits in the Jais-3-0.9B family with Jais-3-0.9B-Uno. The profile has no source-displayable benchmark row yet.
Last updated October 15, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersQuestions
How does Jais-3-0.9B perform overall in AI benchmarks?
Jais-3-0.9B does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.
Is Jais-3-0.9B open source?
Jais-3-0.9B is an open-weight model from IFM. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to Jais-3-0.9B?
Jais-3-0.9B belongs to the Jais-3-0.9B family. Related tracked variants include Jais-3-0.9B-Uno. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does Jais-3-0.9B have full benchmark coverage on BenchLM?
No. Jais-3-0.9B currently has 0 source-displayable rows across 680 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Jais-3-0.9B?
Jais-3-0.9B has a documented context window of 128K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.