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Evaluate and compare AI models and algorithms through organized challenges.

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Tracked since2026
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The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Open-source and customizable

Biggest con

Requires technical expertise for setup and customization

TL;DR - EvalAI

  • Open-source platform for AI model evaluation.
  • Hosts and manages AI challenges and competitions.
  • Provides automated evaluation, leaderboards, and result reporting.
Pricing: Free plan available
Best for: Growing teams

What is EvalAI?

Editorial review
EvalAI is an open-source platform designed to help researchers, data scientists, and AI practitioners evaluate and compare their AI models and algorithms. It facilitates the organization and participation in AI challenges, providing a standardized framework for submitting code, running evaluations, and displaying leaderboards. The platform supports various types of challenges, including those requiring code submissions, result file uploads, or even Docker-based submissions for complex environments. It is ideal for academic institutions, research labs, and companies looking to host or participate in AI competitions. EvalAI streamlines the process of benchmarking AI solutions against common datasets and metrics, fostering collaboration and advancing the state of the art in artificial intelligence. Users benefit from automated evaluation pipelines, robust infrastructure, and transparent result reporting, ensuring fair and reproducible comparisons.

Pros & Cons

Pros

  • Open-source and customizable
  • Standardized evaluation for fair comparison
  • Facilitates large-scale AI competitions
  • Supports diverse AI tasks and models
  • Strong community support and active development

Cons

  • Requires technical expertise for setup and customization
  • Hosting infrastructure needs to be managed by the user for self-hosted instances

Preview

Key Features

Challenge hosting and managementAutomated evaluation pipelinesReal-time leaderboardsSupport for various submission types (code, results, Docker)Public and private challengesTeam collaboration featuresAPI for programmatic interaction

Pricing Plans

Free Trial

Pricing checked Aug 28, 2026

Free

  • 1 user
  • 100 MB storage
  • 100 tasks
  • 5 projects
  • Basic integrations
  • Community support

Starter

$5 / user/month

  • Unlimited users
  • 5 GB storage
  • Unlimited tasks
  • Unlimited projects
  • Advanced integrations
  • Email support
  • Custom branding

Business

$10 / user/month

  • Unlimited users
  • 50 GB storage
  • Unlimited tasks
  • Unlimited projects
  • All integrations
  • Priority support
  • Single Sign-On (SSO)
  • Audit logs

Enterprise

Contact us

  • Custom storage
  • Custom integrations
  • 24/7 support
  • On-premise deployment
  • SLA
  • Dedicated infrastructure

Is EvalAI worth the price?

85/100

EvalAI's pricing is quite generous, especially with its Free and Starter tiers.

The Free tier offers a solid starting point for individuals, while the Starter tier at $5/user/month provides unlimited users and projects, which is excellent value. The Business tier at $10/user/month is well-priced for growing teams needing advanced features and priority support.

Hidden Costs & Gotchas

Potential overage fees for storage on Starter/Business tiers

Enterprise tier requires custom negotiation

Advanced integrations may have separate costs

How EvalAI Compares to Competitors

Compared to platforms like Kaggle (which is free but less customizable for private challenges) or custom-built solutions (which can cost thousands), EvalAI offers a highly competitive and structured pricing model. Its per-user pricing for Starter and Business tiers is more transparent than some competitors that might charge per challenge or per submission, making it a more predictable expense for organizations.

How EvalAI's pricing compares

At $10/mo, EvalAI is the most affordable of its 3 direct competitors.

Entry paid plan, monthly. Pricing checked Aug 28, 2026.

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EvalAI FAQ

What types of AI challenges can be hosted on EvalAI?

EvalAI is versatile and can host a wide range of AI challenges, including those for computer vision, natural language processing, reinforcement learning, and more. It supports challenges where participants submit code, result files, or even Docker containers for complex, environment-dependent evaluations.

How does EvalAI ensure fair and reproducible evaluation across different submissions?

EvalAI ensures fairness and reproducibility by providing a standardized evaluation environment and metrics defined by the challenge host. Submissions are processed through automated pipelines, often within isolated environments like Docker containers, to minimize external variables and ensure consistent execution and scoring.

Can EvalAI be integrated with existing research workflows or CI/CD pipelines?

Yes, EvalAI offers an API that allows for programmatic interaction, making it possible to integrate challenge submissions and result retrieval into existing research workflows or continuous integration/continuous deployment (CI/CD) pipelines. This enables automated testing and benchmarking of model changes.

What are the technical requirements for setting up a self-hosted instance of EvalAI?

To set up a self-hosted instance of EvalAI, you typically need a Linux-based server environment, Docker and Docker Compose for container orchestration, and a PostgreSQL database. Familiarity with Python and web server configuration (e.g., Nginx) is also beneficial for deployment and maintenance.

Does EvalAI support private challenges for internal team evaluations or specific research groups?

Yes, EvalAI allows challenge organizers to create both public and private challenges. Private challenges can be restricted to specific teams or invited participants, making it suitable for internal benchmarking, academic collaborations, or controlled research evaluations before public release.

Source: eval.ai

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