| cff-version: 1.2.0 |
| title: "ALL Bench Leaderboard 2026: Unified Multi-Modal AI Evaluation" |
| message: "If you use this dataset, please cite it as below." |
| type: dataset |
| authors: |
| - name: "ALL Bench Team" |
| url: "https://huggingface.co/spaces/FINAL-Bench/all-bench-leaderboard" |
| repository-code: "https://github.com/final-bench/ALL-Bench-Leaderboard" |
| license: MIT |
| version: "2.1" |
| date-released: "2026-03-08" |
| keywords: |
| - ai-benchmark |
| - llm-leaderboard |
| - vlm |
| - multimodal-ai |
| - metacognition |
| - final-bench |
| - gpt-5 |
| - claude |
| - gemini |
| abstract: >- |
| ALL Bench Leaderboard is the only AI benchmark covering LLM, VLM, Agent, |
| Image, Video, and Music generation in a single unified view. It cross-verifies |
| 91 AI models across 6 modalities with a 3-tier confidence system. Features |
| composite 5-axis scoring (Knowledge, Expert Reasoning, Abstract Reasoning, |
| Metacognition, Execution), interactive comparison tools, and downloadable |
| intelligence reports. Includes FINAL Bench metacognitive evaluation where |
| Error Recovery explains 94.8% of self-correction performance variance. |
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