- MMLU Pro 77.6
- AIME 2026 no tools 69.1
- LiveCodeBench v6 69.1
- Codeforces ELO 1429
- GPQA Diamond 73.2
- Tau2 (average over 3) 56.2
- Best of HLE no tools 11.0 / HLE with search 11.9 11.9
- BigBench Extra Hard 47.6
- MMMLU 81.5
- MMMU Pro 54.3
- OmniDocBench 1.5 (average edit distance, lower is better) 0.319
- MATH-Vision 70.5
- MedXPertQA MM 49
- MRCR v2 8 needle 128k (average) 32
DiffusionGemma 26B A4B
DiffusionGemma 26B A4B ranks first on 2 of the 22 benchmarks it has scores on.
23
Benchmarks with a score
2
Ranked first, out of five or more models
3
In the top three
DiffusionGemma 26B A4B
Open weights Mid-size
No Epoch Capabilities Index score yet
- MMMU-Pro 54.3% #62 /72
- MedXpertQA-MM 49% #10 /12
- BIG-Bench Extra Hard 47.6% #6 /11
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| IFEval | 97.4% | #3 of 126 | Model card | |
| MGSM | 84.8% | #25 of 52 | Model card | |
| BIG-Bench Extra Hard | 47.6% | #6 of 11 | Model card | |
| MMLU-Pro | 77.6% | #89 of 151 | Model card | |
| MMMLU | 81.5% | #37 of 62 | Model card | |
| Humanity's Last Exam | 11.9% | #126 of 147 | Model card | |
| MRCR v2 | 32% | #25 of 27 | Model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GSM8K | 96.3% | #5 of 87 | Model card | |
| HiddenMath | 80.6% | #1 of 11 | Model card | |
| GPQA Diamond | 73.2% | #151 of 284 | Model card | |
| PutnamBench | 67.4% | #4 of 7 | Model card | |
| AIME 2026 | 69.1% | #33 of 34 | Model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HumanEval | 94.5% | #5 of 95 | Model card | |
| Natural2Code | 94% | #1 of 9 | Model card | |
| LBPP (Less Basic Python Problems) | 81% | #1 of 2 | Model card | |
| BigCodeBench | 46% | #6 of 11 | Model card | |
| LiveCodeBench v6 | 69.1% | #50 of 76 | Model card | |
| Codeforces rating | 1,429 | #38 of 41 | Model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| tau2-bench | 56.2% | #63 of 69 | Model card |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MedXpertQA-MM | 49% | #10 of 12 | Model card |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| OmniDocBench v1.5 | 0.32 | #6 of 13 | Model card | |
| MATH-Vision (MathVision) | 70.5% | #24 of 42 | Model card | |
| MMMU-Pro | 54.3% | #62 of 72 | Model card |
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.
Its system card
Every result in the longer documents the lab published with it. 9 of them aren't in the launch post.
DiffusionGemma Technical Report 31 Jul 2026
Capabilities
- AIME 2026 69.1
- GPQA Diamond 73.2
- LiveCodeBench v6 69.1
- Codeforces rating 1429
- BIG-Bench Extra Hard 47.6
- GSM8K 96.3
- MGSM 84.8
- MMMLU 81.5
- MMMU-Pro 54.3
- PutnamBench 67.4
- HumanEval 94.5
- BigCodeBench 46
- LBPP (Less Basic Python Problems) 81
- IFEval 97.4
- tau2-bench
- MMLU-Pro 77.6
- Natural2Code 94
- HiddenMath 80.6