# Spatial Reasoning on MindCube (Detailed Accuracy Metrics)

Source: [Spatial Reasoning on MindCube (Detailed Accuracy Metrics)](<https://www.sota2.com/research/sota/spatial-reasoning-on-mindcube-detailed-accuracy-metrics>)

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

Data updated: 2026-06-04T09:40:50.441Z

Evaluation of model performance on the MindCube dataset for Spatial Reasoning, reporting Overall Accuracy, Rotation Accuracy, Among Accuracy, and Around 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 | Spatial Reasoning |
| Dataset (including any stated split) | MindCube |
| Metric | Overall Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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

- [Overall Accuracy](<https://www.sota2.com/research/sota/spatial-reasoning-on-mindcube-detailed-accuracy-metrics.md?metric=Overall%20Accuracy>): Higher is better; unit: PERCENT.

- [Rotation Accuracy](<https://www.sota2.com/research/sota/spatial-reasoning-on-mindcube-detailed-accuracy-metrics.md?metric=Rotation%20Accuracy>): Higher is better; unit: PERCENT.

- [Among Accuracy](<https://www.sota2.com/research/sota/spatial-reasoning-on-mindcube-detailed-accuracy-metrics.md?metric=Among%20Accuracy>): Higher is better; unit: PERCENT.

- [Around Accuracy](<https://www.sota2.com/research/sota/spatial-reasoning-on-mindcube-detailed-accuracy-metrics.md?metric=Around%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Overall Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| DCRL | 43.52 | Not recorded | 6a2106a5c10484bac23f02fc |
| Qwen3-VL-8B | 40.01 | Not recorded | 6a2106a5c10484bac23f02fc |
| GPT-4o | 38.81 | Not recorded | 6a2106a5c10484bac23f02fc |
| RoboBrain | 37.38 | Not recorded | 6a2106a5c10484bac23f02fc |
| Idefics3-8B-Llama3 | 35.86 | Not recorded | 6a2106a5c10484bac23f02fc |
| LongVA-7B | 29.46 | Not recorded | 6a2106a5c10484bac23f02fc |
| Qwen2.5-VL-7B | 29.26 | Not recorded | 6a2106a5c10484bac23f02fc |
| SpatialVLM | 22.81 | Not recorded | 6a2106a5c10484bac23f02fc |
| InternVL2.5-8B | 18.68 | Not recorded | 6a2106a5c10484bac23f02fc |

### DCRL

Overall Accuracy: 43.52. Result ID: 6a214814fbc373592c1d47c4.

[Reporting paper](<https://www.sota2.com/research/paper/6a2106a5c10484bac23f02fc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a2106a5c10484bac23f02fc.md>)

[Implementation](<https://github.com/aim-uofa/ReasonMatch>)

Recorded evaluation configuration: {"Model Category":"Our Models"}. This record does not assert independent reproduction.

### Qwen3-VL-8B

Overall Accuracy: 40.01. Result ID: 6a214814fbc373592c1d47c3.

[Reporting paper](<https://www.sota2.com/research/paper/6a2106a5c10484bac23f02fc.md>)

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

Recorded evaluation configuration: {"Model Category":"Our Models"}. This record does not assert independent reproduction.

### GPT-4o

Overall Accuracy: 38.81. Result ID: 6a214814fbc373592c1d47c0.

[Reporting paper](<https://www.sota2.com/research/paper/6a2106a5c10484bac23f02fc.md>)

Recorded evaluation configuration: {"Model Category":"Proprietary Model"}. This record does not assert independent reproduction.

### RoboBrain

Overall Accuracy: 37.38. Result ID: 6a214814fbc373592c1d47c1.

[Reporting paper](<https://www.sota2.com/research/paper/6a2106a5c10484bac23f02fc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77931e209131cea74136.md>)

Recorded evaluation configuration: {"Model Category":"Spatial Models"}. This record does not assert independent reproduction.

### Idefics3-8B-Llama3

Overall Accuracy: 35.86. Result ID: 6a214814fbc373592c1d47bf.

[Reporting paper](<https://www.sota2.com/research/paper/6a2106a5c10484bac23f02fc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74931e209131cea629e0.md>)

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

### LongVA-7B

Overall Accuracy: 29.46. Result ID: 6a214814fbc373592c1d47bc.

[Reporting paper](<https://www.sota2.com/research/paper/6a2106a5c10484bac23f02fc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73ea1e209131cea5edfe.md>)

[Implementation](<https://github.com/EvolvingLMMs-Lab/LongVA>)

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

### Qwen2.5-VL-7B

Overall Accuracy: 29.26. Result ID: 6a214814fbc373592c1d47be.

[Reporting paper](<https://www.sota2.com/research/paper/6a2106a5c10484bac23f02fc.md>)

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

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

### SpatialVLM

Overall Accuracy: 22.81. Result ID: 6a214814fbc373592c1d47c2.

[Reporting paper](<https://www.sota2.com/research/paper/6a2106a5c10484bac23f02fc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71f91e209131cea53d86.md>)

[Implementation](<https://spatial-vlm.github.io/>)

Recorded evaluation configuration: {"Model Category":"Spatial Models"}. This record does not assert independent reproduction.

### InternVL2.5-8B

Overall Accuracy: 18.68. Result ID: 6a214814fbc373592c1d47bd.

[Reporting paper](<https://www.sota2.com/research/paper/6a2106a5c10484bac23f02fc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7bab1e209131cea89c7f.md>)

[Implementation](<https://github.com/OpenGVLab/InternVL>)

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

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