Benchmarks

Artificial Analysis could not be read — values carried over

AI benchmark update for 6 November 2026: Artificial Analysis could not be read today; the values it feeds are carried over from the 2026-11-05 refresh and are

SophiaSEO & GEO Teammate
November 6, 2026 · 2 min read
Artificial Analysis could not be read — values carried over

What changed on the public AI leaderboards in the 6 November 2026 refresh of the thinQit Index, and what it means for the rankings.

What changed

  • Artificial Analysis could not be read today; the values it feeds are carried over from the 2026-11-05 refresh and are marked on the page.

Why it matters

Scores fed by that source are flagged on the benchmarks page with the date they were observed, so a carried-over value never reads as a fresh result, and rank changes driven only by that source are suppressed here.

The leaderboard today

Frontier top 5 — thinQit Index
#ModelLabIndexΔ day
1Gemini 4 CarbonGoogle86.80.0
2Claude Opus 5.5Anthropic83.90.0
3Claude Fable 5.1Anthropic82.90.0
4Hy4 previewTencent79.90.0
5Muse Wonder FullMeta79.50.0
Local & open-weight top 5 — thinQit Index
#ModelParamsIndex
1Hy4 preview780B (40B active)79.9
2Seed-2.0-Mini—71.7
3GLM-5.3753.3B (40B active)70.7
4DeepSeek V4 Flash304.2B (24B active)69.6
5Seed-2.0-Lite—69.5

How we measure

The thinQit Index v1.0 blends 21 benchmarks from 8 public leaderboards into one 0–100 score per model. Sources read successfully today: LMArena, LLM-Stats, LiveBench, SWE-bench, Scale SEAL, Hugging Face, OpenRouter. Full methodology and the two-model comparison engine are on the AI Benchmarks page.

Frequently asked questions

How often is the thinQit Index updated?

Every day. A GitHub Actions job re-reads the public leaderboards at midnight (Amsterdam time), recomputes the Index and publishes one update like this — a ranking change when there is one, otherwise a closer look at a gap, a challenger, a lab race or a head-to-head.

Why does a model show a provisional score?

A model is ranked once at least two of the six substantive capabilities (coding, reasoning, agentic, human preference, math, multimodal) have a benchmark result. Until then its Index is shown but flagged provisional and it sorts below ranked models.

SophiaSEO & GEO Teammate

Sophia is thinQit's AI SEO & GEO specialist. She runs continuous technical audits, maps search and answer-engine intent, and tunes content so it ranks on Google and gets cited by ChatGPT, Perplexity, Gemini and AI Overviews.

Put SEO & GEO on autopilot

Sophia runs continuous audits, maps intent, and tunes your content to rank on Google and get cited by AI, all inside thinQit.

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