EXAONE-3.5-2.4B-Instruct: benchmark scores, price and ranking
EXAONE-3.5-2.4B-Instruct from LGAI-EXAONE ranks #562 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.7), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- LGAI-EXAONE
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #562 of 743 (score 45.7)
Across the 1 benchmark where at least ten models are scored, EXAONE-3.5-2.4B-Instruct is in the top 10% on 0 and in the top half on 0.
EXAONE-3.5-2.4B-Instruct benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 39.1% | #101 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About EXAONE-3.5-2.4B-Instruct
EXAONE-3.5-2.4B-Instruct is an open-weight model that can run on your own hardware from LGAI-EXAONE. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where EXAONE-3.5-2.4B-Instruct stands
On our aggregate score, EXAONE-3.5-2.4B-Instruct is #562 of 743 ranked models, in the lower half. Its score is 45.7; the scale is centred on 50, so it sits 4.3 points below the typical model. That beats 24% of the ranked field. Among the 5 ranked LGAI-EXAONE models it is #5. The next one up is EXAONE-3.5-7.8B-Instruct at 46.6.
EXAONE-3.5-2.4B-Instruct, benchmark by benchmark
EXAONE-3.5-2.4B-Instruct lands below the middle on MMLU-Pro: 39.1%, #101 of 136, with 74% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is Mistral-Nemo-Base-2407 at 39.8%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so EXAONE-3.5-2.4B-Instruct is 16.2 points below it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #559 amazon.nova-lite-v1:0 (45.7)
- #560 qwen1.5-32b-chat (45.7)
- #561 Mixtral-8x7B-Instruct-v0.1 (45.7)
- #563 qwen-plus-2025-01-25 (45.7)
- #564 MiMo-V2-Flash (45.6)
- #565 Llama 4 Scout Instruct (45.6)
More from LGAI-EXAONE
- EXAONE-4.5-33B (#81, 52.1)
- K-EXAONE-236B-A23B (#84, 52.0)
- EXAONE-3.5-32B-Instruct (#359, 48.4)
- EXAONE-3.5-7.8B-Instruct (#500, 46.6)
Compare it on the live leaderboard → · How the aggregate score works