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Llama 3.3 Instruct 70B vs EXAONE 4.5 33B (Non-reasoning)
Meta vs LG AI Research — side-by-side benchmark comparison
| Llama 3.3 Instruct 70B | EXAONE 4.5 33B (Non-reasoning) | |
|---|---|---|
| Intelligence Index | 14.5 | — |
| Coding Index | 10.7 | — |
| Math Index | 7.7 | — |
| Output speed (tok/s) | 88.1 | 0.0 |
| Blended price ($/1M) | $0.62 | $0.00 |
| Time to first token (s) | 0.59s | 0.00s |
| aime | 30.0% | — |
| aime 25 | 7.7% | — |
| artificial analysis coding index | 10.70 | — |
| artificial analysis intelligence index | 14.50 | — |
| artificial analysis math index | 7.70 | — |
| gpqa | 49.8% | — |
| hle | 4.0% | — |
| ifbench | 47.1% | — |
| lcr | 15.0% | — |
| livecodebench | 28.8% | — |
| math 500 | 77.3% | — |
| mmlu pro | 71.3% | — |
| scicode | 26.0% | — |
| tau2 | 26.6% | — |
| terminalbench hard | 3.0% | — |
Benchmark data from Artificial Analysis.