AI Model Intelligence Platform

AI model intelligence, free and open

Explore 40+ models from 14 providers — compare pricing, count tokens, estimate costs, check rankings, and follow AI news. No account, no ads, no paywall.

100
Models
14
Providers
7
Languages
34,650+
Comparison pages

Top Models Leaderboard

Transparent scores from public benchmarks, capability, price, and context.

View full leaderboard →
  1. 1 Claude 3.5 SonnetAnthropic78.4Score90%Data Confidence
  2. 2 Gemini 1.5 ProGoogle76.9Score90%Data Confidence
  3. 3 Mistral Large 2Mistral73.6Score90%Data Confidence
  4. 4 GPT-4oOpenAI73.1Score90%Data Confidence
  5. 5 Llama 3.3 70BMeta63.0Score90%Data Confidence
  6. 6 Qwen2.5 72BAlibaba62.6Score90%Data Confidence
  7. 7 Gemini 1.5 FlashGoogle60.9Score90%Data Confidence
  8. 8 Claude 3 OpusAnthropic60.3Score90%Data Confidence

Updated dailyBased on public benchmarks (MMLU, GPQA, HumanEval, AIME) and official pricing. See the full leaderboard for details.

Ranking Methodology

Score calculation
Benchmark 50% · Capability 20% · Price 20% · Context 10%
Benchmark sources
HumanEval · MMLU · GPQA · AIME · LMSYS Arena
Pricing sources
OpenAI · Anthropic · Google official pricing
Last update
Daily snapshot (UTC 02:00)

Explore the platform

How it works

  1. 1

    Pick a model or two from the database

  2. 2

    Compare specs, prices, and benchmarks side by side

  3. 3

    Estimate your token budget and costs

  4. 4

    Follow the leaderboard and daily AI news

Transparent by design

Every price carries its source and verification status. Data comes from official pricing pages where possible, and unknown values are clearly marked — no ads, no affiliate links, no paywall, ever.

Frequently Asked Questions

What is the best AI model?

Based on our transparent scoring, Claude 3.5 Sonnet currently leads with an overall score of 78.4 out of 100. Scores combine public benchmarks, capability, price efficiency, and context window, and are updated daily.

How are AI models ranked?

Models are scored on a transparent 0-100 formula: public benchmarks (50%), capabilities (20%), price efficiency (20%), and context window (10%). Rankings are snapshotted daily; the full methodology is documented on the ranking page.

How often are prices updated?

Prices are sourced from official provider pricing and refreshed on a regular schedule, with price history tracked per model. The last update date is shown on each model page.

Where does benchmark data come from?

Benchmark results come from public sources (e.g. MMLU, GPQA, HumanEval, AIME) with dataset, version, and test date attributed on each entry. Note that some entries are community-submitted and unverified, as marked.

Ready to explore?

The platform is free and open. Start with the model database or jump straight into the tools.