Who is MMEB Leaderboard for?

MMEB Leaderboard is a B2B product built for AI researchers.

Does MMEB Leaderboard have a free plan?

Yes — MMEB Leaderboard is free to use.

What platforms does MMEB Leaderboard run on?

MMEB Leaderboard runs on the web. It can also be self-hosted.

Is MMEB Leaderboard still maintained?

Unverified. MMEB Leaderboard has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to MMEB Leaderboard?

Similar projects tracked by PulseGate include MEGA-Bench Leaderboard, MTEB Leaderboard, and MTEB-BR Leaderboard.

Who makes MMEB Leaderboard?

MMEB Leaderboard is developed by TIGER-Lab.

When did MMEB Leaderboard launch?

MMEB Leaderboard first shipped in 2024.

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MMEB Leaderboard

Name: MMEB Leaderboard
Author: TIGER-Lab

huggingface.coLLM eval & observability

MMEB Leaderboard is a web application for browsing, filtering, and analyzing the performance of multimodal AI models. It provides detailed scores and rankings for image, video, and document tasks, serving AI researchers and practitioners.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

5 features

MMEB Leaderboard sits in PulseGate's LLM eval & observability category. It focuses on comparing and evaluating the performance of multimodal AI models across various tasks and benchmarks. It is built as a B2B product for AI researchers. MMEB Leaderboard is free to use. It ships for the web, and it can be self-hosted.

TIGER-Lab builds and maintains MMEB Leaderboard, and it first shipped in 2024. Key capabilities include leaderboard browsing, model filtering, and score visualization.

Summary written by a language model from the project’s public pages.

Leaderboard browsing
Model filtering
Score visualization
Search function
Multimodal evaluation

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hostedCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed10 Jul · 21:21 UTC
TIGER-Lab/MMEB-Leaderboard verified against its public source
Source: PulseGate · Open

Frequently asked questions about MMEB Leaderboard

What does MMEB Leaderboard do?: MMEB Leaderboard focuses on comparing and evaluating the performance of multimodal AI models across various tasks and benchmarks. It is catalogued under LLM eval & observability on PulseGate.
Who is MMEB Leaderboard for?: MMEB Leaderboard is a B2B product built for AI researchers.
Does MMEB Leaderboard have a free plan?: Yes — MMEB Leaderboard is free to use.
What platforms does MMEB Leaderboard run on?: MMEB Leaderboard runs on the web. It can also be self-hosted.
Is MMEB Leaderboard still maintained?: Unverified. MMEB Leaderboard has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to MMEB Leaderboard?: Similar projects tracked by PulseGate include MEGA-Bench Leaderboard, MTEB Leaderboard, and MTEB-BR Leaderboard.MEGA-Bench Leaderboard MTEB Leaderboard MTEB-BR Leaderboard
Who makes MMEB Leaderboard?: MMEB Leaderboard is developed by TIGER-Lab.
When did MMEB Leaderboard launch?: MMEB Leaderboard first shipped in 2024.

At a glance

Platforms: Web
Languages: English
Built for: AI researchers
Model: B2B
Solves: Comparing and evaluating the performance of multimodal AI models across various tasks and benchmarks.

Registered as

Hugging Face Spaces: TIGER-Lab/MMEB-Leaderboard

Developer

TIGER-Lab

Index record

Identity confidence: High · 94.4
Indexed: 10 Jul 2026
Lifecycle: Alive
Last seen: 10 Jul 2026

Identity audit (12)

Slug: tiger-lab-mmeb-leaderboard-huggingface-co
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 10 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://huggingface.co/spaces/TIGER-Lab/MMEB-Leaderboard

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