LLM StatsYC S25 landing page report.
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Score over time

9080706050Artificial Analysis 58 on Jun 28 (Wayback)Artificial Analysis 64 on Jul 12 (Wayback)Artificial Analysis 66 on Jul 26 (Wayback)Artificial Analysis 66 on Aug 9 (Wayback)Artificial Analysis 64 on Aug 22 (Wayback)Artificial Analysis 64 on Sep 6 (Wayback)Artificial Analysis 65 on Sep 20 (Live)LMArena 62 on Jun 30 (Wayback)LMArena 63 on Jul 15 (Wayback)LMArena 62 on Jul 24 (Wayback)LMArena 63 on Aug 6 (Wayback)LMArena 66 on Aug 24 (Wayback)LMArena 63 on Sep 5 (Wayback)LMArena 66 on Sep 20 (Live)Vellum LLM Leaderboard 65 on Jun 11 (Wayback)Vellum LLM Leaderboard 62 on Jul 11 (Wayback)Vellum LLM Leaderboard 62 on Aug 21 (Wayback)Vellum LLM Leaderboard 62 on Sep 10 (Wayback)Vellum LLM Leaderboard 65 on Sep 20 (Live)OpenRouter Rankings 79 on Jul 3 (Wayback)OpenRouter Rankings 79 on Jul 17 (Wayback)OpenRouter Rankings 78 on Jul 31 (Wayback)OpenRouter Rankings 76 on Aug 14 (Wayback)OpenRouter Rankings 77 on Aug 28 (Wayback)OpenRouter Rankings 78 on Sep 8 (Wayback)OpenRouter Rankings 77 on Sep 10 (Live)Epoch AI Benchmarks 72 on Jun 16 (Wayback)Epoch AI Benchmarks 72 on Jul 6 (Wayback)Epoch AI Benchmarks 74 on Jul 26 (Wayback)Epoch AI Benchmarks 71 on Aug 6 (Wayback)Epoch AI Benchmarks 74 on Aug 14 (Wayback)Epoch AI Benchmarks 74 on Sep 5 (Wayback)Epoch AI Benchmarks 76 on Sep 20 (Live)LLM Stats 65 on Jun 30 (Wayback)LLM Stats 68 on Jul 14 (Wayback)LLM Stats 66 on Jul 27 (Wayback)LLM Stats 67 on Aug 11 (Wayback)LLM Stats 68 on Aug 25 (Wayback)LLM Stats 66 on Sep 7 (Wayback)LLM Stats 66 on Sep 22 (Live)Jun 30Jul 14Jul 27Aug 11Aug 25Sep 7Sep 22
Past reportsShow past reportsHide past reports
  1. Sep 22, 202666LiveMobile web +4 · Information hierarchy −2Viewing
  2. Sep 7, 202666Overall −2 · CTA −6 · Value props −2View →
  3. Aug 25, 202668Overall +1 · CTA +4 · Trust −4View →
  4. Aug 11, 202667Overall +1 · Trust +4 · CTA +2View →
  5. Jul 27, 202666Overall −2 · CTA −6 · Mobile web −5View →
  6. Jul 14, 202668Overall +3 · CTA +10 · Trust +6View →
  7. Jun 30, 202665First tracked report — strongest Value props 84, weakest CTA 58View →

Information hierarchy

56Fair

Does the design help or inhibit what the page is trying to say?

Information hierarchy annotations on the desktop capture1234
  1. Sub-nav category strip — 14+ same-weight links (Coding, Writing, Math, Research…) form a dense exit row before the headline can land.
  2. Six-stat superlative row — Six equal-weight stat blocks compete at once; no single insight leads, so the eye ping-pongs instead of scanning.
  3. Open Superagent banner — The most button-styled element in the fold promotes a different product, outranking any on-page primary action.
  4. Four Best-AI cards — Card row duplicates the sub-nav categories, adding a fourth competing band before the actual leaderboard table appears.

CTA

62Fair

Copy, size, verb, cost-feel — does the primary CTA earn the click?

LLM Stats
LMArenain-product action
Vellum LLM Leaderboard
OpenRouter Rankings
Epoch AI Benchmarks

Problems

  • buried in thin promo banner
  • points away from core product
  • no dominant hero CTA
  • 'free' lives in banner, not button

Mobile web

62Fair

The phone experience as a first-class citizen.

Mobile web annotations on the mobile capture123
  1. Truncated nav tab — "Open LLM Leaderboar" cuts off mid-word, signaling the desktop tab row was not adapted for phones.
  2. Promo banner as top action — "Open Superagent" is the only visible button, routing the first tap to a secondary product instead of the leaderboard.
  3. Cramped tile text — "Code generation & debugging" wraps into four one-to-two-word lines inside the Best AI for Coding card.

Trust

68Fair

Proof that the product is real, competent, and safe to try.

LLM Stats
Epoch AI Benchmarks
OpenRouter Rankings
Artificial Analysis
Trust read
LLM StatsLive leaderboard table with real model rows and metrics (GPT-6 Astra 59.7 LLM Stats score, $11.90/M, 1.1M context)
Artificial AnalysisLive benchmark charts ("Intelligence", "Speed", "Cost per Task") comparing named models with specific scores
LMArenaLive "Ask anything…" prompt box with Battle/Auto mode controls showing real product UI
Vellum LLM LeaderboardNo visible trust signal identified.
OpenRouter RankingsStat bar: "400T+ Monthly Tokens · 10M+ Global Users · 80+ Providers · 500+ Models"
Epoch AI Benchmarks"Trusted by leading publications and institutions" logo strip (Our World in Data, DSIT, Government of the Netherlands, N

Value props

82Strong

Title, subtitle, hero — do they sell the product's true value?

LLM Stats’s headline sellsAI Leaderboard — Rankings for 300+ Top AI Models by Intelligence, Speed & PriceIndependent rankings of GPT, Claude, Gemini, Llama, DeepSeek and 300+ AI models — composite LLM Stats Score, updated continuously from public benchmarks and live API metrics. See the full LLM Leaderboard for complete LLM rankings with advan

Working

  • "300+ models" and "$2.00/M tok" ground the claim
  • "Independent" + "live API metrics" build trust
  • Live table proves the product in the fold

Could improve

  • No user outcome named (choose, save, decide)
  • Zero emotional hook — purely descriptive
  • Superlative card units repeat ("tokens tokens")