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Artificial Analysis
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« An independent platform for in-depth analysis of AI API models and providers. Compare performance, quality and price among numerous models »
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Artificial Analysis: the independent test bench no AI lab can pay to climb

Artificial Analysis is an independent benchmarking platform that scores AI models on intelligence, speed and cost, from language models to video and speech generators. Browsing the site costs nothing, with a free API and paid packages on top for companies. Born as a side project in a Sydney basement before its public launch in early 2024, it now tracks over 600 language models and gets cited everywhere from research papers to industry podcasts. Everything is in English, including a dedicated leaderboard for how well models handle other languages.

Pros
  • Strict independence, no paid placements
  • Frontier models benchmarked within about 24 hours
  • Covers text, image, video, speech and music
  • Same model compared across hosting providers
  • Free API for pulling the data
Cons
  • English-only interface and reports
  • Intelligence Index tests English-language tasks only
  • Dense reading if benchmarks are new to you

What Artificial Analysis measures, from intelligence scores to token prices

The Intelligence Index, the site's flagship metric, blends nine evaluations into a single 0 to 100 score, from GDPval-AA v2 to GPQA Diamond and Terminal-Bench. Major releases hit the bench within about 24 hours, which makes the dashboard a launch-day reflex for anyone following the current crop of language models or the image and music arenas.

Speed gets measured as seriously as smarts. The platform pings live APIs eight times a day to record token throughput and latency, then breaks down prices per million tokens for each hosting provider. You hesitate between two hosts for the same open-weights model, the price-versus-speed chart settles it in ten seconds. Image and video arenas run on blind preference votes converted into an Elo rating.

ModuleWhat gets measuredVerified detail
Intelligence IndexNine aggregated evaluationsScore from 0 to 100
API performanceReal throughput and latencyTested eight times a day
PricingCost per million tokensInput, output and cache broken down
Media arenasImage, video, speech, musicBlind votes, Elo rankings
MultilingualReasoning across sixteen languagesFrench included

Artificial Analysis next to LMArena, stopwatch versus applause meter

No provider can pay for a result, a methodology change or a listing, and that rule is published in black and white. The whole project actually started from a grievance, back when Google presented its first Gemini Ultra with a testing method that differed from everyone else's to appear ahead of GPT-4.

Against LMArena's human votes, this site plays the stopwatch judge (crowd preferences sometimes reward formatting over substance). The two approaches fit together nicely, and plenty of teams cross-check both before committing to a model.

Free in the browser, free API, paid data packages

Every leaderboard and chart is open in the browser, no account required. Going further takes a free account on the Insights platform, which unlocks an API key covering the main metrics, scores, speeds and prices, with mandatory attribution and internal use only.

Then comes the wallet question for companies. Paid packages add higher limits, detailed media data and redistribution rights so the numbers can live inside your own product. There are no free trials on those plans, and up-to-date amounts sit on the official pricing page.

Frequently asked questions

Is Artificial Analysis free?

Yes, reading the leaderboards and charts on the website is completely free, with no account required. A free API also exposes the main metrics, provided you create a key and credit the source. Paid packages target companies, with finer-grained data, higher limits and redistribution rights for customer-facing products.

Artificial Analysis or LMArena, which should you trust?

Both, because they measure different things. LMArena ranks models on human preference votes, which stay subjective by design, while Artificial Analysis publishes technical measurements, evaluation scores, speed and pricing. Cross-checking the two before picking a model remains the most common habit among developers.

How reliable are Artificial Analysis rankings?

A strict independence policy governs the site, so no lab can pay for a result, a methodology change or a listing. Evaluations run in-house on internal copies of the test sets, and the team estimates the confidence interval of its Intelligence Index at under 1%.

Does the Intelligence Index cover languages other than English?

No, that specific suite runs in English only. A separate multilingual index tests model reasoning across sixteen languages, French included, with a dedicated leaderboard per language. Handy for checking that a model shining in English does not fall apart elsewhere.

Verdict: A neutral scoreboard instead of vendor slides, that is the whole point. Developers, CTOs and anyone who would rather pick a model on measured numbers than on launch announcements will find themselves checking it weekly.

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