# Clinical Visual Question Answering on GMAI-MMBench standard MCQA

Source: [Clinical Visual Question Answering on GMAI-MMBench standard MCQA](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa>)

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

Data updated: 2026-06-16T10:22:17.836Z

Evaluation of model performance on the GMAI-MMBench standard MCQA dataset for Clinical Visual Question Answering, reporting Accuracy, AUROC variants, and ECE variants.

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 | Clinical Visual Question Answering |
| Dataset (including any stated split) | GMAI-MMBench standard MCQA |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 12 of 12 |
| 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/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [AUROC (Label NLL)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=AUROC%20(Label%20NLL)>): Higher is better; unit: PERCENT.

- [AUROC (ANLL)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=AUROC%20(ANLL)>): Higher is better; unit: PERCENT.

- [AUROC (Max NLL)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=AUROC%20(Max%20NLL)>): Higher is better; unit: PERCENT.

- [AUROC (SC)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=AUROC%20(SC)>): Higher is better; unit: PERCENT.

- [AUROC (SE)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=AUROC%20(SE)>): Higher is better; unit: PERCENT.

- [AUROC (PRO)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=AUROC%20(PRO)>): Higher is better; unit: PERCENT.

- [AUROC (EE)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=AUROC%20(EE)>): Higher is better; unit: PERCENT.

- [AUROC (RDS)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=AUROC%20(RDS)>): Higher is better; unit: PERCENT.

- [ECE (Label NLL)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=ECE%20(Label%20NLL)>): Lower is better; unit: PERCENT.

- [ECE (ANLL)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=ECE%20(ANLL)>): Lower is better; unit: PERCENT.

- [ECE (Max NLL)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=ECE%20(Max%20NLL)>): Lower is better; unit: PERCENT.

- [ECE (SC)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=ECE%20(SC)>): Lower is better; unit: PERCENT.

- [ECE (SE)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=ECE%20(SE)>): Lower is better; unit: PERCENT.

- [ECE (PRO)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=ECE%20(PRO)>): Lower is better; unit: PERCENT.

- [ECE (EE)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=ECE%20(EE)>): Lower is better; unit: PERCENT.

- [ECE (RDS)](<https://www.sota2.com/research/sota/clinical-visual-question-answering-on-gmai-mmbench-standard-mcqa.md?metric=ECE%20(RDS)>): Lower is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Qwen2.5-VL-72B | 47 | Not recorded | 6a30d8e3d33dfb23e783d011 |
| Qwen2.5-VL-32B | 44.1 | Not recorded | 6a30d8e3d33dfb23e783d011 |
| GPT-4.1-Mini | 43 | Not recorded | 6a30d8e3d33dfb23e783d011 |
| LLaVA-OV-8B | 42.8 | Not recorded | 6a30d8e3d33dfb23e783d011 |
| Qwen2-VL-7B | 42.4 | Not recorded | 6a30d8e3d33dfb23e783d011 |
| Qwen2.5-VL-7B | 42.2 | Not recorded | 6a30d8e3d33dfb23e783d011 |
| MedGemma-27B | 39.3 | Not recorded | 6a30d8e3d33dfb23e783d011 |
| LLaVA-v1.6-34B | 39 | Not recorded | 6a30d8e3d33dfb23e783d011 |
| MedGemma-4B | 37.2 | Not recorded | 6a30d8e3d33dfb23e783d011 |
| LLaVA-v1.6-7B | 35.5 | Not recorded | 6a30d8e3d33dfb23e783d011 |
| Molmo-72B | 35.2 | Not recorded | 6a30d8e3d33dfb23e783d011 |
| Molmo-7B | 33.9 | Not recorded | 6a30d8e3d33dfb23e783d011 |

### Qwen2.5-VL-72B

Accuracy: 47. Result ID: 6a3123c5fbc373592c2e2f19.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8e3d33dfb23e783d011.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa773a1e209131cea71d3c.md>)

Recorded evaluation configuration: {"Model Scale":"Large (\>35B)"}. This record does not assert independent reproduction.

### Qwen2.5-VL-32B

Accuracy: 44.1. Result ID: 6a3123c5fbc373592c2e2f16.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8e3d33dfb23e783d011.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa773a1e209131cea71d3c.md>)

Recorded evaluation configuration: {"Model Scale":"Medium (8B–35B)"}. This record does not assert independent reproduction.

### GPT-4.1-Mini

Accuracy: 43. Result ID: 6a3123c5fbc373592c2e2f1a.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8e3d33dfb23e783d011.md>)

Recorded evaluation configuration: {"Model Scale":"Large (\>35B)"}. This record does not assert independent reproduction.

### LLaVA-OV-8B

Accuracy: 42.8. Result ID: 6a3123c5fbc373592c2e2f14.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8e3d33dfb23e783d011.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c031e209131cea8bdde.md>)

Recorded evaluation configuration: {"Model Scale":"Small (≤8B)"}. This record does not assert independent reproduction.

### Qwen2-VL-7B

Accuracy: 42.4. Result ID: 6a3123c5fbc373592c2e2f10.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8e3d33dfb23e783d011.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75151e209131cea65976.md>)

[Implementation](<https://github.com/QwenLM/Qwen2-VL>)

Recorded evaluation configuration: {"Model Scale":"Small (≤8B)"}. This record does not assert independent reproduction.

### Qwen2.5-VL-7B

Accuracy: 42.2. Result ID: 6a3123c5fbc373592c2e2f11.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8e3d33dfb23e783d011.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa773a1e209131cea71d3c.md>)

Recorded evaluation configuration: {"Model Scale":"Small (≤8B)"}. This record does not assert independent reproduction.

### MedGemma-27B

Accuracy: 39.3. Result ID: 6a3123c5fbc373592c2e2f15.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8e3d33dfb23e783d011.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79ff1e209131cea808a4.md>)

Recorded evaluation configuration: {"Model Scale":"Medium (8B–35B)"}. This record does not assert independent reproduction.

### LLaVA-v1.6-34B

Accuracy: 39. Result ID: 6a3123c5fbc373592c2e2f17.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8e3d33dfb23e783d011.md>)

Recorded evaluation configuration: {"Model Scale":"Medium (8B–35B)"}. This record does not assert independent reproduction.

### MedGemma-4B

Accuracy: 37.2. Result ID: 6a3123c5fbc373592c2e2f0f.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8e3d33dfb23e783d011.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79ff1e209131cea808a4.md>)

Recorded evaluation configuration: {"Model Scale":"Small (≤8B)"}. This record does not assert independent reproduction.

### LLaVA-v1.6-7B

Accuracy: 35.5. Result ID: 6a3123c5fbc373592c2e2f13.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8e3d33dfb23e783d011.md>)

Recorded evaluation configuration: {"Model Scale":"Small (≤8B)"}. This record does not assert independent reproduction.

### Molmo-72B

Accuracy: 35.2. Result ID: 6a3123c5fbc373592c2e2f18.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8e3d33dfb23e783d011.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76101e209131cea6b37c.md>)

[Implementation](<https://molmo.allenai.org/>)

Recorded evaluation configuration: {"Model Scale":"Large (\>35B)"}. This record does not assert independent reproduction.

### Molmo-7B

Accuracy: 33.9. Result ID: 6a3123c5fbc373592c2e2f12.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8e3d33dfb23e783d011.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76101e209131cea6b37c.md>)

[Implementation](<https://molmo.allenai.org/>)

Recorded evaluation configuration: {"Model Scale":"Small (≤8B)"}. This record does not assert independent reproduction.

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