Artificial Analysis

Independent benchmarks of 100+ AI models across quality, speed and live API pricing.

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What is Artificial Analysis?

Artificial Analysis is an independent benchmarking platform that runs continuous automated tests across 100+ AI language and multimodal models. It publishes regularly updated leaderboards on quality, latency, inference speed and live API pricing, alongside a proprietary Intelligence Index, custom benchmarking via Optima, and open-source evaluation tools like AA-AgentPerf-Local.

Key features

  • Independent benchmarks of 100+ language and multimodal models
  • Intelligence Index composite quality scores
  • Quality, speed, latency and live API pricing metrics
  • Coding, reasoning and vision evaluation suites
  • Continuously updated public leaderboards
  • Optima: custom benchmarks on your own data
  • Open-source tools (AA-AgentPerf-Local, Pipette)
  • Publicly documented evaluation methodology

Pros

  • Free, vendor-neutral data for choosing models and providers
  • Real-time API pricing shown alongside quality scores
  • Open methodology and open-source evaluation tools

Cons

  • Commercial data platform pricing is not public
  • Index scores can shift as methodologies are versioned
  • Quite technical for non-developer users

Artificial Analysis at a glance

PricingFreemium
CategoryEducation & Learning
Platformsweb
CompanyArtificial Analysis
Official websiteartificialanalysis.ai
llm-benchmarksleaderboardsmodel-comparisonapi-pricingintelligence-indexai-researchopen-sourcedevelopers

How to choose the right Education & Learning tool

A learning tool earns its place by how well it teaches, not how quickly it answers. Look for step-by-step explanations, worked examples and questions that check understanding, rather than finished homework on demand — the learning happens in the attempt. Match the tool to the level: school students need guardrails, simple language and safety controls, while university and professional learners need depth, sources and subject accuracy. Feedback quality is the dividing line: specific corrections on your work teach far more than generic encouragement. If the tool will be used by children, check age limits and privacy practices carefully, and prefer tools designed to guide practice instead of replacing it.

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Artificial Analysis FAQs

What is Artificial Analysis?

Artificial Analysis is an independent benchmarking platform that runs continuous automated tests across 100+ AI language and multimodal models. It publishes regularly updated leaderboards on quality, latency, inference speed and live API pricing, alongside a proprietary Intelligence Index, custom benchmarking via Optima, and open-source evaluation tools like AA-AgentPerf-Local.

What are the main features of Artificial Analysis?

Artificial Analysis offers Independent benchmarks of 100+ language and multimodal models, Intelligence Index composite quality scores, Quality, speed, latency and live API pricing metrics, Coding, reasoning and vision evaluation suites, Continuously updated public leaderboards, Optima: custom benchmarks on your own data, Open-source tools (AA-AgentPerf-Local, Pipette) and Publicly documented evaluation methodology.

How much does Artificial Analysis cost?

Artificial Analysis follows a freemium model: a free tier is available, and paid plans unlock higher limits and advanced features. Check its official website for current plan prices.

What are the pros and cons of Artificial Analysis?

Strengths of Artificial Analysis include Free, vendor-neutral data for choosing models and providers; Real-time API pricing shown alongside quality scores; Open methodology and open-source evaluation tools. On the downside, Commercial data platform pricing is not public; Index scores can shift as methodologies are versioned; Quite technical for non-developer users.