
LLM Stats
LLM Stats is an independent AI benchmarking platform that aggregates results from 200+ benchmarks and 500K+ comparisons to rank AI models across LLMs, image, video, and audio generation. The platform provides a composite TrueSkill-based LLM Stats Score, real-time pricing data for 410 models refreshed every 30 minutes, and output speed metrics. It serves 200K+ users across 140+ countries, including researchers and Fortune 500 teams.
- Artificial Intelligence
- Data & Analytics
- Developer Tools
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Founder details are not available yet.
Product
Problem
AI model benchmarks are frequently selected and cherry-picked by the companies selling the models themselves, omitting failures and producing results that would not withstand peer review. Decision-makers evaluating models rely on fragmented, inconsistent data that makes it difficult to compare performance, speed, and cost across the rapidly growing landscape of AI offerings.
Solution
LLM Stats provides an independent, open benchmarking platform that aggregates published results from 200+ benchmarks and 500K+ comparisons to rank AI models across LLMs, image generation, video generation, text-to-speech, speech-to-text, and embeddings. The platform delivers a composite TrueSkill-based LLM Stats Score for holistic model ranking, alongside granular data on output speed, context window size, and real-world pricing per token and per turn. Users can explore leaderboards by category, use the comparison tool for side-by-side model analysis, and access the pricing page showing observed cost-per-turn and adjusted costs across 410 models. The platform also offers a data API and MCP integration for developers, custom benchmarking services, and a weekly AI news digest read by 400,000+ subscribers.
Target Audience
Primary users include AI researchers, developers, and technical decision-makers at enterprises and Fortune 500 companies who need independent, reproducible benchmark data to select and deploy AI models.
Features
- Composite TrueSkill-based LLM Stats Score aggregating results across 200+ published benchmarks
- Real-time pricing data for 410 models including input, cached input, output, and observed cost per turn with refresh every 30 minutes
- Performance metrics on output throughput (tokens/sec) and effective context window sizes per model
- Dedicated leaderboards for coding, math, image generation, writing, finance, law, and 20+ other specialized use cases
- Model comparison tool enabling side-by-side evaluation across score, pricing, and speed dimensions
- Data API and MCP (Model Context Protocol) endpoints for programmatic access to benchmark data
- Custom benchmarking services and data labeling for enterprises building proprietary evaluations
- Live AI arenas for head-to-head model battles across chat, coding, image, video, and audio modalities