huggingface.co valid
ALL Bench Leaderboard 2026
The only AI benchmark leaderboard covering LLM, VLM, Agent, Image, Video, and Music generation in one place.
For agents: Leaderboard comparing AI benchmark scores for LLMs, VLMs, agents, image, video and music generation models in one place.
ai benchmarksllm leaderboardvision language modelsimage generationvideo generationmusic generation
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-23T06:12:20.097Z. Cached copy · Source on huggingface.co
# ALL Bench Leaderboard 2026
> The only AI benchmark leaderboard covering LLM, VLM, Agent, Image, Video, and Music generation in one place.
## Overview
ALL Bench Leaderboard is a unified multi-modal AI evaluation platform. It cross-verifies 91 AI models across 6 modalities (LLM, VLM, Agent, Image Generation, Video Generation, Music Generation) with a 3-tier confidence system. Every score is traceable to its original source.
## Key Facts
- Version: 2.1 (March 2026)
- Total Models: 42 LLMs + 11 VLMs + 10 Agents + 10 Image + 10 Video + 8 Music = 91
- Core Benchmarks: MMLU-Pro, GPQA, AIME, HLE, ARC-AGI-2, FINAL Bench (Metacognition), SWE-Pro, BFCL, IFEval, LiveCodeBench
- Scoring: Composite = Avg(verified benchmarks) × √(N/10)
- 5-Axis Framework: Knowledge, Expert Reasoning, Abstract Reasoning, Metacognition, Execution
- Confidence Levels: Cross-verified (2+ sources), Single-source, Self-reported
- License: MIT
## Links
- Live Leaderboard: https://huggingface.co/spaces/FINAL-Bench/all-bench-leaderboard
- Dataset: https://huggingface.co/datasets/FINAL-Bench/ALL-Bench-Leaderboard
- GitHub: https://github.com/final-bench/ALL-Bench-Leaderboard
- FINAL Bench Dataset: https://huggingface.co/datasets/FINAL-Bench/Metacognitive
- FINAL Bench Leaderboard: https://huggingface.co/spaces/FINAL-Bench/Leaderboard
## Top Models (March 2026)
### LLM Top 5 by Composite Score
1. Gemini 3.1 Pro (Google) — GPQA 94.3, ARC-AGI-2 77.1%
2. GPT-5.2 (OpenAI) — GPQA 93.2, AIME 100
3. Claude Opus 4.6 (Anthropic) — SWE-V 80.8, MMMU-Pro 85.1
4. Grok 4 Heavy (xAI) — GPQA 92.0, ARC-AGI-2 67.5%
5. Kimi K2.5 (Moonshot) — HLE 44.9, Metacog 68.71
### VLM Top 3 by MMMU
1. Gemini 3 Flash — MMMU 87.6%
2. Gemini 3 Pro — MMMU 87.5%
3. GPT-5.2 — MMMU 86.7%
### FINAL Bench Metacognitive Top 3
1. Kimi K2.5 — 68.71
2. GPT-5.2 — 62.76
3. GLM-5 — 62.50
## FINAL Bench
FINAL Bench (Frontier Intelligence Nexus for AGI-Level Verification) measures AI self-correction ability. Error Recovery (ER) explains 94.8% of metacognitive performance variance. 9 frontier models evaluated. Featured in Seoul Shinmun, Asia Economy, IT Chosun (2026.02.27). HuggingFace Datasets global ranking: Top 5.
## API
Free Gradio API with 8 endpoints. No authentication required.
Endpoints: /get_llm_data, /get_vlm_data, /get_agent_data, /get_image_data, /get_video_data, /get_music_data, /get_all_data, /search_models
## Data Format
Single unified JSON file: all_bench_leaderboard_v2.1.json (75KB)
Categories: llm[42], vlm.flagship[11], vlm.lightweight[5], agent[10], image[10], video[10], music[8], confidence{42 models}
Related sites
Other listed sites in AI and machine learning. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | — | 70 | ✓ | ✓ | |
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| intellweb.ai | Intellweb | documentation Ecommerce Productivity +3 | US | 61 | ✓ | ✓ | |
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Cybersecurity +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 75 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
Machine-readable: GET /v1/resolve?q=huggingface.co · GET /v1/domain/huggingface.co · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage huggingface.co, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for huggingface.co:
1. POST https://agentwebmap.com/v1/sites/huggingface.co/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://huggingface.co/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/huggingface.co/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/huggingface.co).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.