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LLM Stats

LLM Stats

Compare API models by benchmarks, cost & capabilities

Website llm-stats.com
Overview

What it is

LLM Stats is the go-to place to analyze and compare AI models across benchmarks, pricing and capabilities. Compare model performance easily through our playground and API that gives you access to hundreds of models at once.

Intent

I need it when

Identify the most cost-effective frontier AI model without sacrificing quality

LLM Stats displays per-token pricing alongside benchmark scores, highlighting models like Qwen3.7 Max at $1.25/M tokens in the top 10. Users can sort by price-to-performance ratio and access verified pricing pulled from provider APIs, making cost optimization transparent.

Compare AI models by intelligence, speed, and cost to select the best model for a specific use case

LLM Stats provides an independent leaderboard ranking 300+ AI models with composite scores aggregating GPQA, SWE-Bench, coding-arena performance, and pricing. Users can filter by reasoning, coding, math, or other capabilities and see live API metrics updated continuously, enabling data-driven model selection.

Evaluate open-source and open-weights AI models for self-hosting or fine-tuning

The dedicated Open LLM Leaderboard filters to models with publicly released weights, ranked by the same LLM Stats Score methodology. Users can compare open-weights leaders like Llama, Qwen, and DeepSeek against proprietary alternatives on performance and speed metrics.

Monitor which AI models lead on specific capabilities like reasoning, coding, or long-context tasks

LLM Stats displays current leaders per axis (e.g., Claude Mythos Preview on reasoning at 94.6% GPQA, Mistral Small 4 at 622 tok/s output speed, Grok 4 Fast with 2.0M token context). Users can explore specialized leaderboards for coding, writing, math, and research to find capability-specific winners.

Access independent, reproducible AI model benchmarks to make high-stakes decisions

LLM Stats aggregates 200+ public benchmarks and live API metrics into one comparable score, avoiding cherry-picked results. The methodology is transparent and refreshes hourly for pricing and metadata, providing peer-review-quality evidence for decisions worth millions.

Drop

Not a fit when

  • User needs proprietary benchmark data or closed-source evaluation frameworks not based on public benchmarks
  • User requires real-time model performance monitoring for production inference systems beyond the 7-day rolling average metrics provided
  • User needs detailed model fine-tuning guidance or training optimization advice rather than comparative ranking data
  • User operates in an environment where they cannot access external web-based leaderboards or APIs
  • User requires custom benchmark creation tools tailored to domain-specific tasks outside the 200+ existing benchmarks
Commercials

Pricing

Free access to leaderboards, benchmarks, and model comparisons. Premium services available through API and infrastructure offerings.