Deep reasoning model, strongest on abstract math at launch
SI v3 uses weighted percentages from one Artificial Analysis configuration. Ranking requires all five benchmarks. Partial scores average only available weights. Scores are not comparable to SI v2 or a probability of reaching singularity.
Compared with 27 models released within six months of it, across 9 benchmarks where scores spread out.
| Benchmark | Score | Rank |
|---|---|---|
HumanEval Coding ability - generating correct Python functions | 95.2% | #9 / 50 |
HellaSwag Common sense reasoning about everyday situations | 96.4% | #9 / 36 |
MMLU Tests knowledge across 57 subjects from STEM to humanities | 92.4% | #10 / 54 |
ARC-C Grade-school science questions requiring reasoning | 98.1% | #10 / 40 |
MATH Competition-level mathematics problems | 94% | #20 / 50 |
SWE-bench Real-world GitHub issue resolution | 68.4% | #26 / 39 |
Arena Elo Human preference ranking via blind comparisons | 1408 | #28 / 51 |
ARC-AGIARC Prize Novel reasoning tasks requiring fluid intelligence | 21.2% | #31 / 40 |
TerminalArtificial Analysis Agentic terminal coding tasks requiring multi-step execution | 37.9% | #34 / 58 |
MMMUvals.ai College-level multimodal reasoning across 30+ disciplines | 72.8% | #45 / 51 |
LiveCodeBenchvals.ai Contamination-free competitive programming (filtered by cutoff date) | 79% | #48 / 62 |
GPQA PhD-level science questions even experts struggle with | 88% | #53 / 96 |
MMLU-Provals.ai Harder 10-option successor to MMLU; more reasoning-focused | 79.7% | #56 / 61 |
HLEArtificial Analysis Challenging multidisciplinary questions evaluated by Artificial Analysis | 26.7% | #73 / 100 |
| Benchmark / source | Score |
|---|---|
HLE Artificial AnalysisGrok 4 | 26.7% |
MMMU-Pro Artificial AnalysisGrok 4 | 68.8% |
AA-LCR Artificial AnalysisGrok 4 | 68% |
CritPt Artificial AnalysisGrok 4 | 2% |
IFBench Artificial AnalysisGrok 4 | 53.7% |