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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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