RankingEXAONE 3.5 2.4B Instruct
EXAONE 3.5 2.4B Instruct
1 published benchmark measures · 1 benchmark families contribute across 1 task areas. 0 capability estimates available in the full profile. See all results ↓ · Compare published benchmarks →
Model evidence summary
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A model-wide score would mix effort settings. This page summarizes published evidence; only identified configurations receive leaderboard ranks.
Compare measured configurations →Performance profile
Capabilities
Filled points are supported; hollow points are preliminary. Lines stop at unknown capabilities. Exact values and sources follow below.
Scores estimate outcomes against a shared reference panel; they are not accuracy percentages. Sparse or disconnected evidence cannot qualify an overall profile. Open a capability to inspect its evidence.
Compare available effort levels across 0 benchmark/harness combinations →
Reported effort · Not specified
Settings reported in this model's published benchmark results, including results outside the aggregate. Effort names are provider-specific. These are not API defaults or equal compute budgets.
- Not specified: 1 observations
Mixed settings means multiple settings occur in the evidence. Best across efforts means the source selected its best reported result across settings; it does not mean Max. Unspecified settings stay unknown. This model-summary chart combines reported settings. The leaderboard keeps identified configurations separate and excludes unknown effort.
Inspect each result and its source ↓ · Download effort evidenceScore contributions and missing evidence
1 contributing families across 1 capabilities. Fixed reference panels do not change when the catalog expands.
Capability is fitted jointly across families. Capability estimates below describe different task areas; their weighted sum is not the Capability score.
Results without reviewed compatibility or a reference match remain in the raw evidence below. Coverage counts only contributing results.
Model information & shareable badge
- Lab
- LG AI Research
- Catalog status
- open-weights-available
- Availability
- Public provider-owned weights available for self-hosting; API availability is not implied
- Family
- EXAONE
- Released
- —
- Context
- —
- License
- other
- Model card
- https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct
- Default Capability family coverage
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Benchmark scores & sources
Original results, evaluation harnesses, and evidence behind this model.
| Benchmark | Bucket | Score | Harness | Evidence | Source-recorded date |
|---|---|---|---|---|---|
| MMLU-Pro | Knowledge | 39.1% | MMLU-Pro reportedcontributes to capability | official board | 2026-09-11 |
| ARC-AGI-2 | Hard reasoning | — | — | — | — |
| DeepSWE v1.1 | Agentic | — | — | — | — |
| GDPval-AA | Agentic | — | — | — | — |
| GPQA Diamond | Hard reasoning | — | — | — | — |
| Humanity's Last Exam | Hard reasoning | — | — | — | — |
| LiveCodeBench | Coding | — | — | — | — |
| LMArena Text Arena | Human pref | — | — | — | — |
| OSWorld-Verified | Agentic | — | — | — | — |
| SWE-bench Pro | Agentic | — | — | — | — |
| SWE-bench Verified | Agentic | — | — | — | — |
| Terminal-Bench 2.1 | Agentic | — | — | — | — |