What types of AI models does Artificial Analysis benchmark?

The platform benchmarks frontier language models, coding agents, image generators, video models, and speech systems. It covers over 500 models from providers like Anthropic, OpenAI, Google, Meta, Alibaba, and DeepSeek.

How does Artificial Analysis help with provider selection?

It tracks real-time latency, throughput, and pricing across more than 18 API providers serving the same model. This allows users to compare cost and speed differences for identical open-weights models across different hosting services.

Is there a public API for accessing the benchmark data?

No, there is no public API for the benchmark data itself. This is a limitation for users who want to programmatically wire the numbers into their own dashboards or systems.

What is the pricing structure for Artificial Analysis?

The platform operates on a freemium model where core leaderboards are free to browse. Pro plans cost $417 per month per seat, while Enterprise pricing is custom. Paid plans offer expanded benchmark data and custom visualizations.

Artificial Analysis

Independent benchmarking platform comparing AI models and inference providers across intelligence, speed, and cost.

Freemium· Pro: $417/month per seat · Enterprise: Custom pricingEvaluationMulti-model6.8 / 10

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In short

Artificial Analysis provides independent benchmarks for frontier AI models and inference providers, tracking latency, throughput, and pricing. It is best for engineering and procurement teams needing to compare model performance and provider costs before committing to a specific AI stack.

Best for

Pick Artificial Analysis if you need to compare frontier models and inference providers on cost, speed, and quality before committing to one.

Skip if

Skip it if you want a free programmatic feed of benchmark scores or in-depth qualitative model reviews.

Artificial Analysis is an independent evaluation platform that benchmarks frontier language models, coding agents, image generators, video models, and speech systems against each other. It runs proprietary benchmarks such as the Artificial Analysis Intelligence Index, GDPval-AA, Terminal-Bench, and AA-Briefcase, and tracks real-time latency, throughput, and pricing across 18+ API providers serving the same model. Coverage spans 500+ models from Anthropic, OpenAI, Google, Meta, Alibaba, DeepSeek and the open-weights ecosystem.

The target audience is engineering and procurement teams who need to pick a model and a hosting provider for a specific workload rather than relying on vendor marketing. Leaderboards are filterable by use case, and a recommendation tool maps requirements to a shortlist. Core leaderboards and provider comparisons are free to browse; expanded benchmark data, custom visualizations, and industry reports sit behind paid plans aimed at enterprise buyers.

The blind preference arenas for image, video, and speech add a human-judged signal that complements the quantitative benchmarks, and the per-provider speed and cost tables are particularly useful when the same open-weights model is served at very different price points. There is no public API for the benchmark data itself, which is a real limitation for anyone wanting to wire the numbers into their own dashboards.

Editor's take

The most useful neutral scoreboard in the LLM market right now. The provider-level latency and price tables alone justify bookmarking it before any serious model selection. The lack of an open API is the one thing keeping it from being indispensable infrastructure.

— The AI Tool Bible editorial team

Pros

✅ Independent, methodologically transparent benchmarks across 500+ models
✅ Real-time speed and price tracking per inference provider, not just per model
✅ Covers text, code, image, video, and speech under one roof
✅ Blind preference arenas add human-judged signal alongside quant scores

Cons

⚠️ No public API for programmatic access to benchmark data
⚠️ Premium pricing is not disclosed on the site
⚠️ Aggregate scores can mask task-specific performance differences

Use cases

model-benchmarkingprovider-comparisonmodel-selectioncost-analysislatency-monitoring

Frequently asked

What types of AI models does Artificial Analysis benchmark?: The platform benchmarks frontier language models, coding agents, image generators, video models, and speech systems. It covers over 500 models from providers like Anthropic, OpenAI, Google, Meta, Alibaba, and DeepSeek.
How does Artificial Analysis help with provider selection?: It tracks real-time latency, throughput, and pricing across more than 18 API providers serving the same model. This allows users to compare cost and speed differences for identical open-weights models across different hosting services.
Is there a public API for accessing the benchmark data?: No, there is no public API for the benchmark data itself. This is a limitation for users who want to programmatically wire the numbers into their own dashboards or systems.
What is the pricing structure for Artificial Analysis?: The platform operates on a freemium model where core leaderboards are free to browse. Pro plans cost $417 per month per seat, while Enterprise pricing is custom. Paid plans offer expanded benchmark data and custom visualizations.