Where does the leaderboard data come from?

Benchmark data comes from Artificial Analysis, an independent LLM benchmarking service. Quality scores, output speed, and time-to-first-token are measured by their infrastructure and refreshed every 6 hours.

What is the Quality Index?

The Quality Index is a composite score from Artificial Analysis that aggregates performance across multiple benchmarks including reasoning, coding, math, and general knowledge tasks.

What does the Value ranking show?

The Value ranking combines quality score with pricing to show which models give you the most capability per dollar. A high-value model delivers strong benchmarks at a low price per token.

How often is the leaderboard updated?

Benchmark and pricing data refreshes every 6 hours. New models are added automatically as they appear in our data sources.

Can I see latency metrics?

Yes. The Speed ranking shows output tokens per second and time-to-first-token (TTFT) for each model, helping you choose models for latency-sensitive applications.

LLM Leaderboard

Live rankings by quality, speed, and value. Data from Artificial Analysis benchmarks.

Live benchmark rankings are temporarily offline while we refresh data from Artificial Analysis. Pricing data is unaffected:

Compare pricing Cheapest models

How to Use the LLM Leaderboard

1
Choose a ranking metric
Switch between Quality, Speed, and Value tabs to rank models by the metric that matters most to your use case.
2
Filter by provider
Use the provider buttons to focus on specific vendors. Compare only OpenAI models, or pit Anthropic against Google.
3
Explore the scatter chart
The interactive quality-vs-price chart plots every model so you can visually identify the best value picks.

Why Use This Leaderboard

Three ranking modes (Quality, Speed, and Value) for different decision criteria
Benchmark data from Artificial Analysis, refreshed every 6 hours
Interactive scatter chart plotting quality against cost for visual comparison
Provider filtering to narrow the field to vendors you're evaluating
Includes output speed (tokens/sec) and time-to-first-token for latency planning

Common Use Cases

Model selection

Find the highest-quality model within your budget by sorting on the Value tab.

Latency optimization

Sort by Speed to find the fastest models for real-time applications like chat or autocomplete.

Benchmark tracking

Check back regularly to see how new model releases stack up against existing options.

Stakeholder reporting

Use the scatter chart to show leadership why a specific model offers the best quality-to-cost ratio.

Related Tools

Token Counter

Count tokens and see per-request costs.

API Pricing

Full pricing table for all models.

Compare Models

Side-by-side model comparison.

Cost Calculator

Estimate monthly API spend.

Frequently Asked Questions

Common questions about the LLM leaderboard