LLM Stats GTM brain

LLM Stats helps AI builders compare models using benchmark, price and speed data and offers evaluation services.

category

AI model evaluation and intelligence

market profile

  • text: Teams choosing models must balance task performance, inference cost and speed across fast-changing providers.
  • text: Benchmark provenance matters: a third-party analysis found that most scores on sampled LLM Stats benchmark pages were provider-reported.

personas

  • title: AI engineering lead
    pains:
    • Choosing models for coding or agent workloads without manually aggregating scores and API costs
    • Revisiting model selections as releases and prices change
  • title: ML evaluation or research lead
    pains:
    • Understanding benchmark provenance and whether public scores transfer to proprietary tasks
    • Designing reliable evaluations for a particular use case
  • title: AI product manager
    pains:
    • Explaining tradeoffs between model quality, latency and unit economics to stakeholders

icp

  • text: Software companies building AI features or agents and evaluating multiple model providers; company size is not stated.
  • text: AI labs and enterprise evaluation teams that need benchmark intelligence or use-case-specific testing.

message pillars

  • text: Compare a broad set of models on quality, speed and cost in one place.
  • text: Trace scores to public benchmarks and live API measurements.
  • text: Match model selection to the job, with task-specific rankings.

objections

  • objection: Public benchmark scores may not reflect our production tasks.
    response: Use the leaderboard for a shortlist and validate the finalists against representative internal tasks; investigate custom benchmarking.
  • objection: A single composite score can obscure tradeoffs or provenance.
    response: Inspect individual benchmarks, pricing and the published methodology rather than relying on one rank.

competitors

  • name: Artificial Analysis
    why: Independent model benchmarks, speed and price comparisons.
  • name: LLMBenchmark.ai
    website: https://llmbenchmark.ai/
    why: Alternative model rankings and API price comparison.
  • name: LiveBench
    why: Alternative fresh benchmark for model evaluation.

influencers

  • name: Jonathan Chavez
    url: https://medium.com/llm-stats/hello-world-839dbcd0c244
    why: Author of the LLM Stats introduction and public voice for its benchmark community.

keywords

  • LLM leaderboard
  • AI model comparison
  • LLM benchmark scores
  • AI model pricing comparison
  • LLM evaluation services
  • best coding model

voice

  • analytical and comparison-led
  • accessible to practitioners
  • focused on transparency

signals

  • text: A team is selecting a foundation model or changing providers for an AI product.
  • text: Inference costs or latency are prompting a review of model choices.

pricing

model: unknown

motion

hybrid

channels

  • SEO
  • LinkedIn
  • newsletter
  • Product Hunt

confidence

medium

Founders

  • name: Jonathan Chávez
    title: Founder
    role: Founder
    bio: Co-Founder at LLM-Stats.
  • name: Sebastian Crossa
    title: Founder
    role: Founder
    bio: Co-Founder @ LLM Stats. Previous founding engineer at Micro building the future of email (backed by a16z), as well as founding engineer at Atrato Pago (W21). Formerly built and scaled Minecraft servers during my spare time during highschool.

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