Model profile
Exaone 4.0 32B
Evidence coverage
13 of 323 tracked benchmarks are published. 2 are verified and 11 provisional. 6 of 8 categories are measured.
- Published / tracked
- 13 / 323
- Verified
- 2
- Provisional
- 11
- Categories with evidence
- 6 / 8
Evidence by category
- Agentic1 benchmarkReported
- Coding1 benchmarkReported
- Reasoning2 benchmarksReported
- Knowledge7 benchmarksMixed evidence
- Math1 benchmarkVerified
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following1 benchmarkReported
BenchLM tracks Exaone 4.0 32B as a regional Korea model. Its benchmark rows are published for direct inspection, but it is intentionally excluded from the public global leaderboard so local-market scores do not skew worldwide rankings.
Exaone 4.0 32B is a open weight model with a 128K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
Exaone 4.0 32B sits inside the Exaone 4.0 family alongside Exaone 4.0 1.2B. This profile currently has 13 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 39.06–48.45
- K-ExaoneLG AI ResearchCompare#12648.45K-Exaone is #126 with a score of 48.45.
- Solar Pro 2UpstageCompare#16741.19Solar Pro 2 is #167 with a score of 41.19.
- Exaone 4.0 32BCurrent modelLG AI Research#17040.44Exaone 4.0 32B is #170 with a score of 40.44.
- Exaone 4.0 1.2BLG AI ResearchCompare#17939.06Exaone 4.0 1.2B is #179 with a score of 39.06.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%1 benchmarkReported | Score pending | Not ranked | Not available | 22% | 1 benchmark | Reported |
| CodingWeight 20%1 benchmarkReported | Score pending | Not ranked | Not available | 20% | 1 benchmark | Reported |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%7 benchmarksMixed sources | 76.5 | Not ranked | Not available | 12% | 7 benchmarks | Mixed sources |
| MathWeight 5%1 benchmarkVerified | Score pending | Not ranked | Not available | 5% | 1 benchmark | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%1 benchmarkReported | Score pending | Not ranked | Not available | 5% | 1 benchmark | Reported |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic1 benchmark
τ²-Bench Tool-Agent-User Evaluation
Coding1 benchmark
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge7 benchmarks
Massive Multitask Language Understanding Professional
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Math1 benchmark
American Invitational Mathematics Examination 2025
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Exaone 4.0 32B perform overall in AI benchmarks?
Exaone 4.0 32B is tracked as a regional Korea model on BenchLM. Its Korean benchmark scores are visible on the model profile and Korean leaderboards, but it is intentionally excluded from the global overall ranking so regional results do not distort worldwide comparisons.
Is Exaone 4.0 32B good for knowledge and understanding?
Exaone 4.0 32B has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Exaone 4.0 32B good for coding and programming?
Exaone 4.0 32B has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is Exaone 4.0 32B good for mathematics?
Exaone 4.0 32B has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is Exaone 4.0 32B good for reasoning and logic?
Exaone 4.0 32B has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Exaone 4.0 32B good for agentic tool use and computer tasks?
Exaone 4.0 32B has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is Exaone 4.0 32B good for instruction following?
Exaone 4.0 32B has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Is Exaone 4.0 32B open source?
Yes, Exaone 4.0 32B is an open weight model created by LG AI Research, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to Exaone 4.0 32B?
Exaone 4.0 32B belongs to the Exaone 4.0 family. Related variants on BenchLM include Exaone 4.0 1.2B.
Does Exaone 4.0 32B have full benchmark coverage on BenchLM?
Not yet. Exaone 4.0 32B currently has 13 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Exaone 4.0 32B?
Exaone 4.0 32B has a published context window of 128K, which determines how much text it can process in a single interaction.
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