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Olmo 3.1 32B Instruct vs K-EXAONE (Non-reasoning)
Allen Institute for AI vs LG AI Research — side-by-side benchmark comparison
| Olmo 3.1 32B Instruct | K-EXAONE (Non-reasoning) | |
|---|---|---|
| Intelligence Index | 12.2 | 23.4 |
| Coding Index | 5.6 | 13.5 |
| Math Index | — | 44.0 |
| 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 | — | — |
| aime 25 | — | 44.0% |
| artificial analysis coding index | 5.60 | 13.50 |
| artificial analysis intelligence index | 12.20 | 23.40 |
| artificial analysis math index | — | 44.00 |
| gpqa | 53.9% | 69.5% |
| hle | 4.9% | 5.4% |
| ifbench | 39.2% | 39.6% |
| lcr | 0.0% | 47.0% |
| livecodebench | — | — |
| math 500 | — | — |
| mmlu pro | — | 81.0% |
| scicode | 16.7% | 27.0% |
| tau2 | 21.3% | 59.1% |
| terminalbench hard | 0.0% | 6.8% |
Benchmark data from Artificial Analysis.