# Video Reasoning on MMMU Video

Source: [Video Reasoning on MMMU Video](<https://www.sota2.com/research/sota/video-reasoning-on-mmmu-video>)

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

Data updated: 2026-03-05T07:09:30.392Z

Evaluation of video reasoning capabilities using the MMMU Video dataset, measured by 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 | Video Reasoning |
| Dataset (including any stated split) | MMMU Video |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 16 of 16 |
| 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/video-reasoning-on-mmmu-video.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| GPT-5-thinking | 84.6 | Not recorded | 6926896bd6b0dd334293026f |
| Gemini 2.5 Pro | 83.6 | Not recorded | 6926896bd6b0dd334293026f |
| OpenAI O3 | 83.3 | Not recorded | 6926896bd6b0dd334293026f |
| Seed 1.5VL | 81.4 | Not recorded | 6926896bd6b0dd334293026f |
| Qwen3-VL-235B-Thinking | 80 | Not recorded | 6926896bd6b0dd334293026f |
| VideoChat-M1 | 80 | Not recorded | 6926896bd6b0dd334293026f |
| Qwen3-VL-235B-Instruct | 74.7 | Not recorded | 6926896bd6b0dd334293026f |
| Qwen3-VL-8B-Instruct | 65.3 | Not recorded | 6926896bd6b0dd334293026f |
| GPT-4o | 61.2 | Not recorded | 6926896bd6b0dd334293026f |
| Gemini 1.5 Pro | 53.9 | Not recorded | 6926896bd6b0dd334293026f |
| VideoChat-R1.5-7B | 51.4 | Not recorded | 6926896bd6b0dd334293026f |
| Aria-28B | 50.8 | Not recorded | 6926896bd6b0dd334293026f |
| LLAVA-Video-72B | 49.7 | Not recorded | 6926896bd6b0dd334293026f |
| LLaVA-ov-72B | 48.3 | Not recorded | 6926896bd6b0dd334293026f |
| LLaVA-Video-7B | 36.1 | Not recorded | 6926896bd6b0dd334293026f |
| LongVA-7B | 24 | Not recorded | 6926896bd6b0dd334293026f |

### GPT-5-thinking

Accuracy: 84.6. Result ID: 69a92c216dbb7075b9521243.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

Recorded evaluation configuration: {"Model Category":"Closed-source Large-sized MLLM"}. This record does not assert independent reproduction.

### Gemini 2.5 Pro

Accuracy: 83.6. Result ID: 69a92c216dbb7075b9521241.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c311e209131cea8cef5.md>)

Recorded evaluation configuration: {"Model Category":"Closed-source Large-sized MLLM"}. This record does not assert independent reproduction.

### OpenAI O3

Accuracy: 83.3. Result ID: 69a92c216dbb7075b9521245.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

Recorded evaluation configuration: {"Model Category":"Closed-source Large-sized MLLM"}. This record does not assert independent reproduction.

### Seed 1.5VL

Accuracy: 81.4. Result ID: 69a92c216dbb7075b9521246.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78791e209131cea788a1.md>)

Recorded evaluation configuration: {"Model Category":"Closed-source Large-sized MLLM"}. This record does not assert independent reproduction.

### Qwen3-VL-235B-Thinking

Accuracy: 80. Result ID: 69a92c216dbb7075b9521248.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

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

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

### VideoChat-M1

Accuracy: 80. Result ID: 69a92c216dbb7075b9521250.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

Recorded evaluation configuration: {"Model Category":"Ours","Number of Parameters":"37B"}. This record does not assert independent reproduction.

### Qwen3-VL-235B-Instruct

Accuracy: 74.7. Result ID: 69a92c216dbb7075b9521247.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

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

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

### Qwen3-VL-8B-Instruct

Accuracy: 65.3. Result ID: 69a92c216dbb7075b952124d.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

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

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

### GPT-4o

Accuracy: 61.2. Result ID: 69a92c216dbb7075b9521244.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75681e209131cea67a98.md>)

Recorded evaluation configuration: {"Model Category":"Closed-source Large-sized MLLM"}. This record does not assert independent reproduction.

### Gemini 1.5 Pro

Accuracy: 53.9. Result ID: 69a92c216dbb7075b9521242.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76361e209131cea6be11.md>)

Recorded evaluation configuration: {"Model Category":"Closed-source Large-sized MLLM"}. This record does not assert independent reproduction.

### VideoChat-R1.5-7B

Accuracy: 51.4. Result ID: 69a92c216dbb7075b952124c.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7b8f1e209131cea891be.md>)

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

### Aria-28B

Accuracy: 50.8. Result ID: 69a92c216dbb7075b952124b.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76921e209131cea6dd17.md>)

[Implementation](<https://github.com/rhymes-ai/Aria>)

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

### LLAVA-Video-72B

Accuracy: 49.7. Result ID: 69a92c216dbb7075b9521249.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

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

### LLaVA-ov-72B

Accuracy: 48.3. Result ID: 69a92c216dbb7075b952124a.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa756f1e209131cea67e58.md>)

[Implementation](<https://llava-vl.github.io/blog/llava-onevision>)

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

### LLaVA-Video-7B

Accuracy: 36.1. Result ID: 69a92c216dbb7075b952124f.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.md>)

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

### LongVA-7B

Accuracy: 24. Result ID: 69a92c216dbb7075b952124e.

[Reporting paper](<https://www.sota2.com/research/paper/6926896bd6b0dd334293026f.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-source Medium-sized MLLM"}. This record does not assert independent reproduction.

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