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Olmo 3.1 32B Instruct vs EXAONE 4.0 32B (Non-reasoning)
Allen Institute for AI vs LG AI Research — side-by-side benchmark comparison
| Olmo 3.1 32B Instruct | EXAONE 4.0 32B (Non-reasoning) | |
|---|---|---|
| Intelligence Index | 12.2 | 11.7 |
| Coding Index | 5.6 | 9.4 |
| Math Index | — | 39.3 |
| 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 | — | 47.0% |
| aime 25 | — | 39.3% |
| artificial analysis coding index | 5.60 | 9.40 |
| artificial analysis intelligence index | 12.20 | 11.70 |
| artificial analysis math index | — | 39.30 |
| gpqa | 53.9% | 62.8% |
| hle | 4.9% | 4.9% |
| ifbench | 39.2% | 33.5% |
| lcr | 0.0% | 8.0% |
| livecodebench | — | 47.2% |
| math 500 | — | 93.9% |
| mmlu pro | — | 76.8% |
| scicode | 16.7% | 25.2% |
| tau2 | 21.3% | 4.1% |
| terminalbench hard | 0.0% | 1.5% |
Benchmark data from Artificial Analysis.