Benchmarks

Mercury 2.5 climbs 10.0 points on a fresh Output speed result

AI benchmark update for 5 November 2026: Mercury 2.5 gained 10.0 Index points (14.9 → 24.9) after new results: Output speed 0 → 873.61. Hy4 preview moved up

SophiaSEO & GEO Teammate
November 5, 2026 · 2 min read
Mercury 2.5 climbs 10.0 points on a fresh Output speed result

What changed on the public AI leaderboards in the 5 November 2026 refresh of the thinQit Index, and what it means for the rankings.

What changed

  • Mercury 2.5 gained 10.0 Index points (14.9 → 24.9) after new results: Output speed 0 → 873.61.
  • Hy4 preview moved up from #6 to #4 on the frontier leaderboard, passing Muse Wonder Full and Gemini 4 Argon (Index 78.9 → 79.9).
  • Muse Wonder Full slipped from #4 to #5 on the frontier leaderboard, passed by Gemini 4 Argon (Index 79.5 → 79.5).
  • K2 Horizon lost 2.0 Index points (55.3 → 53.3) after new results: Output speed 412.26 → 116.75.
  • Gemini 4 Argon slipped from #5 to #6 on the frontier leaderboard, passed by Hy4 preview (Index 79.3 → 79.2).
  • Grok 4.6 lost 1.1 Index points (66.3 → 65.2) after new results: AA Intelligence Index 44.3 → 31.

Why it matters

Output speed feeds the Speed & price capability, which carries 5 % of the Index.

Also refreshed today: Gemini 4 Carbon: Output speed 91.68 · Claude Opus 5.5: Output speed 96.65 · Claude Fable 5.1: Output speed 69.24 · Hy4 preview: Blended price 0.63 · Gemini 4 Argon: Output speed 81.05 · GPT-6.1 Sol: Output speed 61.84 · Claude Sonnet 5.5: Output speed 134.55 · GPT-6 Astra: Output speed 51.29 and 50 more.

The leaderboard today

Frontier top 5 — thinQit Index
#ModelLabIndexΔ day
1Gemini 4 CarbonGoogle86.80.0
2Claude Opus 5.5Anthropic83.90.0
3Claude Fable 5.1Anthropic82.9+0.1
4Hy4 previewTencent79.9+1.0
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: Artificial Analysis, 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.

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