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Exaone 4.0 1.2BNot publicly ranked · Price not listed
Model profile · LG AI Research
Exaone 4.0 1.2B
TrackedOpen WeightNon-Reasoning128K context
Exaone 4.0 1.2B is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Data as of August 7, 2026 · How the score is built
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 128K
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Tracked
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
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 parametersLineage
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
1-2b
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 Exaone 4.0 1.2B, 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.
Exaone 4.0 1.2B is a open weight model with a 128K context window. No explicit reasoning mode is documented in this profile.
Exaone 4.0 1.2B sits in the Exaone 4.0 family with Exaone 4.0 32B. The profile has no source-displayable benchmark row yet.
Frequently asked questions
How does Exaone 4.0 1.2B perform overall in AI benchmarks?
Exaone 4.0 1.2B is tracked as a regional Korea model. Its published regional benchmark rows remain visible, but the global overall table excludes them so a market-specific result does not alter worldwide positions. Use the matching regional leaderboard when comparing it with locally evaluated models.
Is Exaone 4.0 1.2B open source?
Exaone 4.0 1.2B is an open-weight model from LG AI Research. 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 Exaone 4.0 1.2B?
Exaone 4.0 1.2B belongs to the Exaone 4.0 family. Related tracked variants include Exaone 4.0 32B. 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 Exaone 4.0 1.2B have full benchmark coverage on BenchLM?
No. Exaone 4.0 1.2B currently has 11 source-displayable rows across 381 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 Exaone 4.0 1.2B?
Exaone 4.0 1.2B has a reported context window of 128K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Last updated August 7, 2026. Runtime fields remain blank until a sourced snapshot exists.
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