Artificial Analysis

Independent AI model benchmarks with speed, cost, and agent tests

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research #benchmarking#model-selection#evaluation#ai-providers

About

Compare AI models by intelligence, output speed, and cost in one place. ML engineers and product teams use it to pick providers for agents, coding help, or support bots with data-backed scores. Its Intelligence Index, AA-AgentPerf benchmarks, and a personalized recommendation tool make shortlisting faster than manual trials.

Editor's Take

Worth trying if you need data-backed model shortlists for experiments or procurement; best suited for teams that can interpret benchmark metrics and translate them into experimental design or budgets.

Key Features

Set your priorities (intelligence, speed, cost) → get a personalized model recommendation
Open the Intelligence Index → rank models by a single score built from 10 public and AA-run evaluations
Check Speed metrics → see output tokens per second to compare real throughput
Review Price charts → compare USD per 1M tokens across providers for budgeting
Use AA-AgentPerf → view results from real agent workloads on real hardware to judge agent suitability

Use Cases

An ML engineer selecting a provider for a customer support agent that must balance quality with low latency
A product manager shortlisting models for a coding assistant feature while tracking per‑1M token costs
A CTO evaluating open‑weights vs proprietary options for a new internal reasoning tool

Try It Like This

1
Shortlist models for a literature review
Sign up and set priorities to weight intelligence over cost → use the Intelligence Index to pull top-ranked models for language understanding tasks → export the ranked list and notes to include in your methods section or appendix.
2
Pick models for agent-based experiments
Set speed and intelligence as priorities to surface candidates that balance throughput and reasoning → check AA-AgentPerf to compare agent workloads run on real hardware → select 3 candidates and note differences in agent performance for experimental design.
3
Estimate budget for a grant proposal
Open the Price charts and set expected token volumes for your planned experiments → compare USD per 1M tokens across providers and combine with speed metrics to estimate real runtime cost → document the projected monthly cost and justify provider choice in the budget section.
4
Choose a model for a student coding assistant
Prioritize intelligence and price to find models that provide strong code help at reasonable cost → review token efficiency and speed metrics to ensure interactive latency stays low for students → shortlist two models and note trade-offs for classroom deployment planning.
5
Replicate an agent benchmark from literature
Use AA-AgentPerf to find similar real-world agent workloads and the hardware used → match the benchmarked models and hardware in your replication plan, adjusting for observed tokens-per-second to estimate run time → record any discrepancies between published results and AA measurements for your replication notes.

Pros & Cons

Pros

Intelligence Index aggregates 10 public and AA-run evaluations into a single score for quick model ranking.
AA-AgentPerf shows results from real agent workloads on real hardware, helping judge agent suitability beyond synthetic tests.
Price charts list USD per 1M tokens across providers, enabling straightforward cost comparisons for budgeting.

Cons

Documentation and public descriptions provide limited detail about the user interface and specific feature flows, which may require exploration to learn.
Interpreting benchmarking metrics (e.g., combining intelligence, speed, cost) may have a learning curve for non-technical users.
Accuracy of comparisons depends on external provider data and the platform's test configurations, which could affect reliability in edge cases.

Getting Started

1 Visit Artificial Analysis in your browser
2 Open the Intelligence Index and AA-AgentPerf pages to compare models and agents
3 Adjust the intelligence/speed/cost sliders to receive a personalized model recommendation within minutes