| Benchmark | Gemma 4 26B A4B | Llama 3.1 Instruct 405B |
|---|---|---|
| AA Agentic Index | 32.1 | 6.3 |
| AA Intelligence | 26.1 | 8.5 |
| AA-LCR | 61.7 | 24.7 |
| AA-Omniscience | -50.8 | -17.1 |
| arc_challenge | 92.8 | 96.9 |
| Artificial Analysis Coding Index | 39.3 | 14.5 |
| C-Eval | 82.5 | 72.5 |
| critpt | 0 | 0 |
| gdpval | 25.7 | 0 |
| GPQA Diamond | 82.3 | 51.5 |
| GSM8K | 77 | 96.8 |
| hellaswag | 85.3 | 89.2 |
| HLE | 19.3 | 4.2 |
| humaneval | 50 | 89 |
| IFBench | 72.4 | 39 |
| ifeval | 96.4 | 88.6 |
| LiveCodeBench | 79.8 | 30.1 |
| MBPP | 68.4 | 73.4 |
| mmlu | 77.8 | 88.6 |
| mmlu_redux | 92.7 | 86.2 |
| MMLU-Pro | 85.2 | 73.4 |
| mmmlu | 86.3 | 73.8 |
| OmniScience Accuracy | 19.1 | 23.2 |
| OmniScience Non-Hallucination | 13.6 | 49 |
| OpenBookQA | 48.8 | 94 |
| scicode | 40.3 | 29.9 |
| SWE-bench Pro | 13.8 | 11.2 |
| SWE-bench Verified | 57.4 | 24.5 |
| Terminal-Bench Hard | 25 | 6.8 |
| winogrande | 79.1 | 86.7 |
| τ²-Bench Telecom (AA run) | 43.6 | 19 |
Best tracked score per model per benchmark (default configuration; source-attributed). ↓ marks lower-is-better metrics. Open either model for its full surface, provenance and pricing.