# Video Question Answering on INST-IT Bench Video

Source: [Video Question Answering on INST-IT Bench Video](<https://www.sota2.com/research/sota/video-question-answering-on-inst-it-bench-video>)

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

Data updated: 2026-02-26T05:49:44.107Z

Evaluation of model performance on the INST-IT Bench Video dataset for Video Question Answering capabilities, reporting metrics for Open-Ended (OE Q&A) and Multiple-Choice (MC Q&A) 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 | Video Question Answering |
| Dataset (including any stated split) | INST-IT Bench Video |
| Metric | MC Q&A 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

- [MC Q&A Accuracy](<https://www.sota2.com/research/sota/video-question-answering-on-inst-it-bench-video.md?metric=MC%20Q%26A%20Accuracy>): Higher is better; unit: PERCENT.

- [OE Q&A Accuracy](<https://www.sota2.com/research/sota/video-question-answering-on-inst-it-bench-video.md?metric=OE%20Q%26A%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | MC Q&A Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| GPT-4o | 81 | Not recorded | 68fa76001e209131cea6ad69 |
| Gemini-1.5-flash | 75.8 | Not recorded | 68fa76001e209131cea6ad69 |
| Qwen2-VL-Instruct | 74.6 | Not recorded | 68fa76001e209131cea6ad69 |
| LLaVA-NeXT-INST-IT | 53.3 | Not recorded | 68fa76001e209131cea6ad69 |
| LLaVA-Video | 53.2 | Not recorded | 68fa76001e209131cea6ad69 |
| LLaVA-OV | 45.6 | Not recorded | 68fa76001e209131cea6ad69 |
| InternVL2 | 45.5 | Not recorded | 68fa76001e209131cea6ad69 |
| LLaVA-NeXT-INST-IT | 42.1 | Not recorded | 68fa76001e209131cea6ad69 |
| LLaVA-OV (SI) | 36.4 | Not recorded | 68fa76001e209131cea6ad69 |
| Random Guess | 25 | Not recorded | 68fa76001e209131cea6ad69 |
| LLaVA-NeXT-Video | 24.8 | Not recorded | 68fa76001e209131cea6ad69 |
| ShareGPT4Video | 16.1 | Not recorded | 68fa76001e209131cea6ad69 |

### GPT-4o

MC Q&A Accuracy: 81. Result ID: 699409883a6c3148491a93dd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

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

Recorded evaluation configuration: {"#IT":"N/A"}. This record does not assert independent reproduction.

### Gemini-1.5-flash

MC Q&A Accuracy: 75.8. Result ID: 699409883a6c3148491a93de.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

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

Recorded evaluation configuration: {"#IT":"N/A"}. This record does not assert independent reproduction.

### Qwen2-VL-Instruct

MC Q&A Accuracy: 74.6. Result ID: 699409883a6c3148491a93e5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

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

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

Recorded evaluation configuration: {"LLM":"Qwen2-72B","#IT":"N/A"}. This record does not assert independent reproduction.

### LLaVA-NeXT-INST-IT

MC Q&A Accuracy: 53.3. Result ID: 699409883a6c3148491a93e7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

[Implementation](<https://inst-it.github.io/>)

Recorded evaluation configuration: {"LLM":"Qwen2-7B","#IT":"920K"}. This record does not assert independent reproduction.

### LLaVA-Video

MC Q&A Accuracy: 53.2. Result ID: 699409883a6c3148491a93e3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7a561e209131cea82934.md>)

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

Recorded evaluation configuration: {"LLM":"Qwen2-7B","#IT":"~7.4M"}. This record does not assert independent reproduction.

### LLaVA-OV

MC Q&A Accuracy: 45.6. Result ID: 699409883a6c3148491a93e2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

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

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

Recorded evaluation configuration: {"LLM":"Qwen2-7B","#IT":"~8.8M"}. This record does not assert independent reproduction.

### InternVL2

MC Q&A Accuracy: 45.5. Result ID: 699409883a6c3148491a93e4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71de1e209131cea5370d.md>)

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

Recorded evaluation configuration: {"LLM":"InternLM2.5-7B","#IT":"N/A"}. This record does not assert independent reproduction.

### LLaVA-NeXT-INST-IT

MC Q&A Accuracy: 42.1. Result ID: 699409883a6c3148491a93e6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

[Implementation](<https://inst-it.github.io/>)

Recorded evaluation configuration: {"LLM":"Vicuna-7B","#IT":"920K"}. This record does not assert independent reproduction.

### LLaVA-OV (SI)

MC Q&A Accuracy: 36.4. Result ID: 699409883a6c3148491a93e1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

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

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

Recorded evaluation configuration: {"LLM":"Qwen2-7B","#IT":"~7.2M"}. This record does not assert independent reproduction.

### Random Guess

MC Q&A Accuracy: 25. Result ID: 699409883a6c3148491a93dc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

Recorded evaluation configuration: {"#IT":"N/A"}. This record does not assert independent reproduction.

### LLaVA-NeXT-Video

MC Q&A Accuracy: 24.8. Result ID: 699409883a6c3148491a93df.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

Recorded evaluation configuration: {"LLM":"Vicuna-7B","#IT":"860K"}. This record does not assert independent reproduction.

### ShareGPT4Video

MC Q&A Accuracy: 16.1. Result ID: 699409883a6c3148491a93e0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76001e209131cea6ad69.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa738e1e209131cea5d310.md>)

[Implementation](<https://sharegpt4video.github.io/>)

Recorded evaluation configuration: {"LLM":"Llama3-8B","#IT":"~1.0M"}. This record does not assert independent reproduction.

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