Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Exaone 4.0 32B
~75
Winner · 1/8 categoriesGranite-4.0-1B
~40
0/8 categoriesExaone 4.0 32B· Granite-4.0-1B
Pick Exaone 4.0 32B if you want the stronger benchmark profile. Granite-4.0-1B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Exaone 4.0 32B is clearly ahead on the aggregate, 75 to 40. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Exaone 4.0 32B's sharpest advantage is in knowledge, where it averages 81.8 against 31.7. The single biggest benchmark swing on the page is MMLU-Pro, 81.8% to 32.9%.
Exaone 4.0 32B is the reasoning model in the pair, while Granite-4.0-1B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
BenchLM keeps the benchmark table and the operator tradeoffs on the same page so a better score does not hide a materially slower, pricier, or smaller-context model.
Runtime metrics show N/A when BenchLM does not have a sourced snapshot for that exact model. The scoring rules and freshness policy are documented on the methodology page.
| Benchmark | Exaone 4.0 32B | Granite-4.0-1B |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| Coding | ||
| HumanEval | — | 73% |
| Multimodal & Grounded | ||
| Coming soon | ||
| Reasoning | ||
| BBH | — | 59.7% |
| KnowledgeExaone 4.0 32B wins | ||
| MMLU-Pro | 81.8% | 32.9% |
| MMLU | — | 59.7% |
| GPQA | — | 29.7% |
| Instruction Following | ||
| IFEval | — | 78.5% |
| Multilingual | ||
| MGSM | — | 27.5% |
| Mathematics | ||
| AIME 2025 | 85.3% | — |
Exaone 4.0 32B is ahead overall, 75 to 40. The biggest single separator in this matchup is MMLU-Pro, where the scores are 81.8% and 32.9%.
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 31.7. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.