# Expert-level Multimodal Understanding on MMMU (Accuracy)

Source: [Expert-level Multimodal Understanding on MMMU (Accuracy)](<https://www.sota2.com/research/sota/expert-level-multimodal-understanding-on-mmmu-accuracy>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-31T09:15:34.044Z

Evaluation of model performance on the MMMU dataset focusing on expert-level multimodal understanding capabilities, measured using Accuracy.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Expert-level Multimodal Understanding |
| Dataset (including any stated split) | MMMU |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 15 of 15 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/expert-level-multimodal-understanding-on-mmmu-accuracy.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Qwen3-VL-8B | 60.9 | Not recorded | 691bfe976750be83fe5cf516 |
| PAPO | 60.8 | Not recorded | 68fa7bd11e209131cea8ab14 |
| VAPO | 60.2 | Not recorded | 68fa7bd11e209131cea8ab14 |
| VL-Rethinker | 57.9 | Not recorded | 68fa7bd11e209131cea8ab14 |
| SenseNova-SI | 57.6 | Not recorded | 691bfe976750be83fe5cf516 |
| MM-Eureka | 55.7 | Not recorded | 68fa7bd11e209131cea8ab14 |
| InternVL3-8B | 55.6 | Not recorded | 691bfe976750be83fe5cf516 |
| Base Model | 52.7 | Not recorded | 68fa7bd11e209131cea8ab14 |
| VST-7B-SFT | 50.9 | Not recorded | 691bfe976750be83fe5cf516 |
| Bagel-7B-MoT | 50.4 | Not recorded | 691bfe976750be83fe5cf516 |
| SenseNova-SI | 50.2 | Not recorded | 691bfe976750be83fe5cf516 |
| SenseNova-SI | 49.4 | Not recorded | 691bfe976750be83fe5cf516 |
| Cambrian-S-7B | 47.1 | Not recorded | 691bfe976750be83fe5cf516 |
| SenseNova-SI | 44.4 | Not recorded | 691bfe976750be83fe5cf516 |
| InternVL3-2B | 43.2 | Not recorded | 691bfe976750be83fe5cf516 |

### Qwen3-VL-8B

Accuracy: 60.9. Result ID: 69cb761647f34ce924b35e32.

[Reporting paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6927db54d6b0dd3342930f66.md>)

Recorded evaluation configuration: {"Model Category":"Open-source General Models"}. This record does not assert independent reproduction.

### PAPO

Accuracy: 60.8. Result ID: 69cb909647f34ce924b41ba7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bd11e209131cea8ab14.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7a761e209131cea8363f.md>)

Recorded evaluation configuration: {"Model Scale":"7B","Decoding Strategy":"greedy decoding"}. This record does not assert independent reproduction.

### VAPO

Accuracy: 60.2. Result ID: 69cb909647f34ce924b41ba9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bd11e209131cea8ab14.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7bd11e209131cea8ab14.md>)

Recorded evaluation configuration: {"Model Scale":"7B"}. This record does not assert independent reproduction.

### VL-Rethinker

Accuracy: 57.9. Result ID: 69cb909647f34ce924b41ba8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bd11e209131cea8ab14.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78791e209131cea788a8.md>)

Recorded evaluation configuration: {"Model Scale":"7B"}. This record does not assert independent reproduction.

### SenseNova-SI

Accuracy: 57.6. Result ID: 69cb761647f34ce924b35e38.

[Reporting paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Method origin paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Implementation](<https://github.com/OpenSenseNova/SenseNova-SI>)

Recorded evaluation configuration: {"Base Architecture":"Qwen3-VL-8B","Model Category":"Ours"}. This record does not assert independent reproduction.

### MM-Eureka

Accuracy: 55.7. Result ID: 69cb909647f34ce924b41ba6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bd11e209131cea8ab14.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78121e209131cea76a32.md>)

Recorded evaluation configuration: {"Model Scale":"7B"}. This record does not assert independent reproduction.

### InternVL3-8B

Accuracy: 55.6. Result ID: 69cb761647f34ce924b35e34.

[Reporting paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78241e209131cea76fa5.md>)

Recorded evaluation configuration: {"Model Category":"Open-source General Models"}. This record does not assert independent reproduction.

### Base Model

Accuracy: 52.7. Result ID: 69cb909647f34ce924b41ba5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bd11e209131cea8ab14.md>)

Recorded evaluation configuration: {"Model Scale":"7B"}. This record does not assert independent reproduction.

### VST-7B-SFT

Accuracy: 50.9. Result ID: 69cb761647f34ce924b35e35.

[Reporting paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Method origin paper](<https://www.sota2.com/research/paper/691171712828b7cc6937d56e.md>)

[Implementation](<https://github.com/Yangr116/VST>)

Recorded evaluation configuration: {"Model Category":"Open-source SI Models"}. This record does not assert independent reproduction.

### Bagel-7B-MoT

Accuracy: 50.4. Result ID: 69cb761647f34ce924b35e31.

[Reporting paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7a311e209131cea81aad.md>)

[Implementation](<https://bagel-ai.org/>)

Recorded evaluation configuration: {"Model Category":"Open-source General Models"}. This record does not assert independent reproduction.

### SenseNova-SI

Accuracy: 50.2. Result ID: 69cb761647f34ce924b35e37.

[Reporting paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Method origin paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Implementation](<https://github.com/OpenSenseNova/SenseNova-SI>)

Recorded evaluation configuration: {"Base Architecture":"Bagel-7B-MoT","Model Category":"Ours"}. This record does not assert independent reproduction.

### SenseNova-SI

Accuracy: 49.4. Result ID: 69cb761647f34ce924b35e3a.

[Reporting paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Method origin paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Implementation](<https://github.com/OpenSenseNova/SenseNova-SI>)

Recorded evaluation configuration: {"Base Architecture":"InternVL3-8B","Model Category":"Ours"}. This record does not assert independent reproduction.

### Cambrian-S-7B

Accuracy: 47.1. Result ID: 69cb761647f34ce924b35e36.

[Reporting paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Method origin paper](<https://www.sota2.com/research/paper/690d7cfb2828b7cc6937cd50.md>)

Recorded evaluation configuration: {"Model Category":"Open-source SI Models"}. This record does not assert independent reproduction.

### SenseNova-SI

Accuracy: 44.4. Result ID: 69cb761647f34ce924b35e39.

[Reporting paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Method origin paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Implementation](<https://github.com/OpenSenseNova/SenseNova-SI>)

Recorded evaluation configuration: {"Base Architecture":"InternVL3-2B","Model Category":"Ours"}. This record does not assert independent reproduction.

### InternVL3-2B

Accuracy: 43.2. Result ID: 69cb761647f34ce924b35e33.

[Reporting paper](<https://www.sota2.com/research/paper/691bfe976750be83fe5cf516.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78241e209131cea76fa5.md>)

Recorded evaluation configuration: {"Model Category":"Open-source General Models"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
