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Olmo 3.1 32B Think vs EXAONE 4.0 32B (Reasoning)
Allen Institute for AI vs LG AI Research — side-by-side benchmark comparison
| Olmo 3.1 32B Think | EXAONE 4.0 32B (Reasoning) | |
|---|---|---|
| Intelligence Index | 13.9 | 16.7 |
| Coding Index | 9.8 | 14.0 |
| Math Index | 77.3 | 80.0 |
| Output speed (tok/s) | 0.0 | 0.0 |
| Blended price ($/1M) | $0.00 | $0.00 |
| Time to first token (s) | 0.00s | 0.00s |
| aime | — | 84.3% |
| aime 25 | 77.3% | 80.0% |
| artificial analysis coding index | 9.80 | 14.00 |
| artificial analysis intelligence index | 13.90 | 16.70 |
| artificial analysis math index | 77.30 | 80.00 |
| gpqa | 59.1% | 73.9% |
| hle | 6.0% | 10.5% |
| ifbench | 66.0% | 36.3% |
| lcr | 0.0% | 14.0% |
| livecodebench | 69.5% | 74.7% |
| math 500 | — | 97.7% |
| mmlu pro | 76.3% | 81.8% |
| scicode | 29.3% | 34.4% |
| tau2 | 0.0% | 17.3% |
| terminalbench hard | 0.0% | 3.8% |
Benchmark data from Artificial Analysis.