# Edit Inspectors Question Answering on MagicBrush (test)

Source: [Edit Inspectors Question Answering on MagicBrush (test)](<https://www.sota2.com/research/sota/edit-inspectors-question-answering-on-magicbrush-test>)

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

Data updated: 2026-02-26T05:27:00.101Z

Evaluation of model performance on the MagicBrush dataset (test split) for assessing the quality of image edits based on inspector questions.

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 | Edit Inspectors Question Answering |
| Dataset (including any stated split) | MagicBrush (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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/edit-inspectors-question-answering-on-magicbrush-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Contextual Consistency](<https://www.sota2.com/research/sota/edit-inspectors-question-answering-on-magicbrush-test.md?metric=Contextual%20Consistency>): Higher is better; unit: PERCENT.

- [Technical Precision](<https://www.sota2.com/research/sota/edit-inspectors-question-answering-on-magicbrush-test.md?metric=Technical%20Precision>): Higher is better; unit: PERCENT.

- [Artifacts Score](<https://www.sota2.com/research/sota/edit-inspectors-question-answering-on-magicbrush-test.md?metric=Artifacts%20Score>): Higher is better; unit: PERCENT.

- [Diff Caption Acc](<https://www.sota2.com/research/sota/edit-inspectors-question-answering-on-magicbrush-test.md?metric=Diff%20Caption%20Acc>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| GPT-4 | 73.7 | Not recorded | 68fa79651e209131cea7d6a6 |
| GPT-4o | 71 | Not recorded | 68fa79651e209131cea7d6a6 |
| Qwen2.5 VL | 64 | Not recorded | 68fa79651e209131cea7d6a6 |
| InternVL3 | 63.6 | Not recorded | 68fa79651e209131cea7d6a6 |
| LLaVA | 62.3 | Not recorded | 68fa79651e209131cea7d6a6 |
| GPT-4 Turbo | 60 | Not recorded | 68fa79651e209131cea7d6a6 |
| LLaVA | 58.5 | Not recorded | 68fa79651e209131cea7d6a6 |

### GPT-4

Accuracy: 73.7. Result ID: 698b4b8e8d67a41d0a6ce145.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79651e209131cea7d6a6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea56a1e.md>)

[Implementation](<https://github.com/openai/evals>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### GPT-4o

Accuracy: 71. Result ID: 698b4b8e8d67a41d0a6ce146.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79651e209131cea7d6a6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea56a1e.md>)

[Implementation](<https://github.com/openai/evals>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Qwen2.5 VL

Accuracy: 64. Result ID: 698b4b8e8d67a41d0a6ce148.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79651e209131cea7d6a6.md>)

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

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### InternVL3

Accuracy: 63.6. Result ID: 698b4b8e8d67a41d0a6ce149.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79651e209131cea7d6a6.md>)

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

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### LLaVA

Accuracy: 62.3. Result ID: 698b4b8e8d67a41d0a6ce14b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79651e209131cea7d6a6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79651e209131cea7d6a6.md>)

[Implementation](<https://editinspector.github.io/>)

Recorded evaluation configuration: {"training":"Supervised"}. This record does not assert independent reproduction.

### GPT-4 Turbo

Accuracy: 60. Result ID: 698b4b8e8d67a41d0a6ce147.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79651e209131cea7d6a6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea56a1e.md>)

[Implementation](<https://github.com/openai/evals>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### LLaVA

Accuracy: 58.5. Result ID: 698b4b8e8d67a41d0a6ce14a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79651e209131cea7d6a6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79651e209131cea7d6a6.md>)

[Implementation](<https://editinspector.github.io/>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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