Gemma 4 26B-A4B
Gemma 4 26B-A4B is Google DeepMind's Mixture-of-Experts multimodal model with 26 billion total parameters and 3.8 billion activated parameters per token, with a 256K context window. Ranks #6 among open models on Arena AI, outcompeting models 20x its size. Achieves an estimated LMArena text score of 1441. Supports image and text inputs.
Benchmark results
| Benchmark | Score | Tags | Source |
|---|---|---|---|
| AIME 2026 | 88.3% | self-reported llm-stats | link → |
| BIG-Bench Extra Hard | 64.8% | self-reported llm-stats | link → |
| GPQA | 82.3% | self-reported llm-stats | link → |
| Humanity's Last Exam | 17.2% | self-reported llm-stats | link → |
| LiveCodeBench v6 | 77.1% | self-reported llm-stats | link → |
| MathVision | 82.4% | self-reported llm-stats | link → |
| MedXpertQA | 58.1% | self-reported llm-stats | link → |
| MMLU-Pro | 82.6% | self-reported llm-stats | link → |
| MMMLU | 86.3% | self-reported llm-stats | link → |
| MMMU-Pro | 73.8% | self-reported llm-stats | link → |
| MRCR v2 | 44.1% | self-reported llm-stats | link → |
| t2-bench | 85.5% | self-reported llm-stats | link → |