Source-transparent model comparison

Find the right model.
See the evidence.

Compare leading AI models through one auditable decision layer for performance, coding, value, speed, and efficiency.

Built for engineers, researchers, and teams choosing models without relying on vendor claims.

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LLMDEX / LIVE INDEX Decision snapshot

DATA READY

PERFORMANCE LEADER Loading index...

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MODELS INDEXED --

DATA SOURCES --

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01 / INDEX PULSE

Market Overview

Latest successfully processed snapshot

Top Performer

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Performance: N/A

Source-native · Artificial Analysis

Best Value

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N/A

LLMDEX-derived · Artificial Analysis metrics

Most Efficient

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N/A

LLMDEX-derived · Listed API pricing

Model Variants Tracked

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— validated source

LLMDEX published dataset

Top LLMDEX Model

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Consensus pending

LLMDEX consensus · Artificial Analysis + LLMStats

Open-Weights SOTA

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Consensus pending

LLMDEX consensus · Open-weights families

Matched Families

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Approved family matches

LLMDEX identity layer

Last Updated

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Source health loading

LLMDEX processing date

Performance vs. Cost Frontier

Capability Radar

Efficiency Ranking (Percentile)

SOURCE-NATIVE + CONSENSUS

Leaderboards

General keeps the Artificial Analysis order. Capability views use LLMStats names, scores, and ranks as published.

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Source: Artificial Analysis · Latest successfully processed snapshot

Performance Leaderboard: Published intelligence scores are used unchanged. No cost, speed, or completeness penalty influences this ranking.

General intelligence, pricing and API performance data from Artificial Analysis.

CURRENT TOP 10

Model Reactions

Experimental model-specific reactions from recent Reddit, Hacker News, and X when its official API is configured. Developer issue templates and news headlines are excluded from community quotes. Sentiment never changes leaderboard rankings.

Public sentiment

Most discussed

Controversy

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Model Family Growth Explorer

Follow each company’s model releases chronologically and see how intelligence scores changed from one generation to the next.

Filter by year

Select a model company to view its release timeline.

Releases are placed by their published date and grouped by product family. Reasoning-effort variants are collapsed into one generation.

05 / DECISION SUPPORT

AI Model Advisor

Checking AI connection

Ask a question in plain language. The Advisor answers only from the current LLMDEX dataset and shows whether Gemini or deterministic local analysis produced the result.

Data-Grounded AI Advisor Beta

Grounded in the latest ranked model snapshot

Hello! I'm the LLMDEX Data-Advisor. I can answer questions about model performance, costs, and rankings using only published, source-linked benchmark observations.

Quick Match by Priorities:

Selected (in order):

PUBLIC CONTRACTS

Data & Quality

Download processed datasets for the dashboard, Power BI, and external analysis. Source failures are visible and never replaced with fabricated rows.

Artificial AnalysisLoading

LLMStatsLoading

Matched families—

Identity review—

Artificial Analysis BenchmarksPower BI wide schema · performance, pricing, speed and benchmarks Download CSV

Combined LLMDEX DatasetArtificial Analysis + LLMStats + LLMDEX consensus Download JSON

Model Family HistoryObserved family snapshots and ranking history Download CSV

LLMStats BenchmarksPower BI wide schema · capability scores and benchmarks Download CSV

Methodology

LLMDEX is designed as an auditable, source-transparent LLM analytics platform. Every ranking decision is documented, every data point is traceable, and no value is ever fabricated. Below is how the system works.

Data Sources

Artificial Analysis powers General, price, and API performance. LLMStats powers source-native capability views. LLMDEX preserves both observations separately and links them only at family level.

Rankings & Coverage

The Artificial Analysis Intelligence Index is used unchanged. LLMStats capability views preserve every benchmark column shown by the source. Missing values stay unavailable and never become zero.

LLMDEX Consensus

The family score is 50% AA matched-universe percentile and 50% LLMStats General percentile. Raw source scores are never averaged; missing or unresolved families remain unscored.

Identity Matching

Exact IDs, URLs, approved aliases, then provider + family + version are eligible. Approved variants share the same family LLMDEX score; source-native scores and model configurations remain separate.

Value Leaderboard

Composite: 50% Performance + 30% Cost Efficiency + 20% Speed. Missing components redistribute weight proportionally. Uses adjusted performance for fairness.

Efficiency Leaderboard

Efficiency = Performance / Blended Cost, normalized as percentile ranks to prevent chart distortion. Only models with adjusted performance ≥ 25 qualify. Models with a listed zero API price may rank highest on API-price efficiency. Self-hosting, hardware, engineering, and operating costs are not included.

Data sources and attribution

General intelligence, model pricing, generation throughput, latency, and API-performance observations are sourced from Artificial Analysis .

General and capability-specific benchmark rankings are sourced from LLMStats .

LLMDEX independently processes, links, and presents these observations. LLMDEX is not affiliated with, endorsed by, or sponsored by either source. Model coverage, metric definitions, providers, and update times may differ between sources.

LLMDEX does not independently execute every upstream benchmark. Third-party observations remain subject to their respective source terms.