What changed on the public AI leaderboards in the 8 November 2026 refresh of the thinQit Index, and what it means for the rankings.
What changed
- Inkling gained 3.0 Index points (54.7 → 57.7) after new results: LMArena WebDev 1415.19 → 1647.77; LMArena Text 1442.66 → 1443.28.
- Mistral Large 4 lost 2.0 Index points (57.0 → 55.0) after new results: LMArena Vision 1272.17 → 1243.69; LMArena Text 1430.07 → 1410.8; LMArena WebDev 1544.31 → 1560.42.
- Claude Fable 5 moved up from #9 to #8 on the frontier leaderboard, passing GPT-6.1 Sol (Index 78.0 → 78.0).
- GPT-6.1 Sol slipped from #8 to #9 on the frontier leaderboard, passed by Claude Fable 5 (Index 78.1 → 77.9).
- Seed 2.0 Pro moved up from #11 to #10 on the frontier leaderboard, passing Claude Sonnet 5.5 (Index 76.5 → 76.5).
- Claude Sonnet 5.5 slipped from #10 to #11 on the frontier leaderboard, passed by Seed 2.0 Pro (Index 76.8 → 76.4).
Why it matters
LMArena WebDev feeds the Coding capability, which carries 25 % of the Index. The gap to #40 Muse Spark Open is 0.1 Index points. Behind it, #42 Kimi K2.7 Code is 0.1 points back.
Also refreshed today: Gemini 4 Carbon: LMArena Text 1539.08 · Gemini 4 Carbon: LMArena WebDev 1767.21 · Claude Opus 5.5: LMArena Text 1512.27 · Claude Opus 5.5: LMArena WebDev 1814.34 · Claude Opus 5.5: LMArena Vision 1324.15 · Claude Fable 5.1: LMArena Text 1513.46 · Claude Fable 5.1: LMArena Vision 1320.69 · Claude Fable 5.1: LMArena WebDev 1745.65 and 136 more.
The leaderboard today
| # | Model | Lab | Index | Δ day |
|---|---|---|---|---|
| 1 | Gemini 4 Carbon | 86.8 | 0.0 | |
| 2 | Claude Opus 5.5 | Anthropic | 83.8 | −0.1 |
| 3 | Claude Fable 5.1 | Anthropic | 82.9 | 0.0 |
| 4 | Hy4 preview | Tencent | 79.9 | 0.0 |
| 5 | Muse Wonder Full | Meta | 79.6 | +0.1 |
| # | Model | Params | Index |
|---|---|---|---|
| 1 | Hy4 preview | 780B (40B active) | 79.9 |
| 2 | Seed-2.0-Mini | — | 71.7 |
| 3 | GLM-5.3 | 753.3B (40B active) | 70.8 |
| 4 | DeepSeek V4 Flash | 304.2B (24B active) | 69.6 |
| 5 | Seed-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.
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.
