OpenCompass Multi-modal Leaderboard

Real-time updated leaderboard of multi-modal model performance

CommonProductProductivityMulti-modalPerformance Evaluation

The OpenCompass multi-modal leaderboard is a real-time platform for evaluating and ranking different multi-modal models (VLMs). It calculates the average score of models based on 8 multi-modal benchmarks and provides detailed performance data. The platform only includes open-source VLMs or publicly available APIs, aiming to help researchers and developers understand the latest advancements and performance of current multi-modal models.

Provide real-time ranking and performance data for multi-modal models
Support adding new models to VLMEvalKit by creating PRs
Performance evaluation using 8 multi-modal benchmarks
Provide detailed model performance reports including scores for each benchmark
Allow users to obtain help and support by contacting the email address opencompass@pjlab.org.cn

This leaderboard is suitable for researchers
developers
and enterprise decision-makers in the field of artificial intelligence because it provides a transparent and impartial platform to evaluate and compare the performance of different multi-modal models. This helps them choose the most suitable model for their project requirements or understand industry trends and development directions.

Researchers use the leaderboard to compare the performance of different models on specific tasks
Developers leverage leaderboard data to select models suitable for their application scenarios
Enterprise decision-makers refer to the leaderboard to formulate technology procurement or R&D strategies

Visit the OpenCompass multi-modal leaderboard website
View the current ranking and performance data for multi-modal models
Click on a model of interest to obtain a more detailed performance report
Visit VLMEvalKit and create a PR to add new models if needed
Get further assistance and support through the contact information provided on the leaderboard

Visit

OpenCompass Multi-modal Leaderboard Visit Over Time

Monthly Visits

70237

Bounce Rate

35.01%

Page per Visit

2.7

Visit Duration

00:03:26

OpenCompass Multi-modal Leaderboard Visit Trend

OpenCompass Multi-modal Leaderboard Visit Geography

OpenCompass Multi-modal Leaderboard Traffic Sources

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OpenCompass Multi-modal Leaderboard

OpenCompass Multi-modal Leaderboard Visit Over Time

OpenCompass Multi-modal Leaderboard Visit Trend

OpenCompass Multi-modal Leaderboard Visit Geography

OpenCompass Multi-modal Leaderboard Traffic Sources

OpenCompass Multi-modal Leaderboard Alternatives

SEED-Story — Multi-modal Long-form Story Generation Model

Video-MME — The first comprehensive benchmark for evaluating the performance of Multi-Modal Large Language Models (MLLMs) in video analysis.

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OmniGen — A unified framework for image generation that simplifies multi-task image generation.

Mistral-Small-Instruct-2409 — High-performance instruct-tuned AI model

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Shangchen Zhou — A blog website focused on research and innovation in the fields of computer vision and machine learning.

MemoRAG — A memory-based RAG framework for general-purpose applications

SuperPrompt — Aimed at helping us understand the engineering of AI agents through prompt design.

RAGLAB — A modular, research-oriented unified framework for retrieval-augmented generation

DeepSeek-V2.5 — An AI model integrating general and programming capabilities.

West Lake AI Model — A multimodal model with high emotional and intellectual intelligence

RWKV v6 Finch 14B — RWKV v6 Finch 14B is an open-source large model that efficiently processes long texts.

C4AI Command R+ 08-2024 — A multilingual advanced dialogue generation model with 104 billion parameters.

LLM Playground — An interactive platform for loading and testing large language models.

Boden Annotation Service Enhancement (BASE) — Professional data solution provider

Geekbench AI — A cross-platform AI performance benchmarking tool.

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