What changed on the public AI leaderboards in the 1 November 2026 refresh of the thinQit Index, and what it means for the rankings.
What changed
- K2 Horizon lost 1.8 Index points (55.3 → 53.5) after new results: Output speed 699.56 → 135.05.
- DeepSeek V4.1 Flash lost 1.1 Index points (73.6 → 72.5) after new results: Output speed 785.9 → 182.34.
Why it matters
Output speed feeds the Speed & price capability, which carries 5 % of the Index. The gap to #46 GPT-6 Luna is 0.1 Index points. Behind it, #48 Mistral Medium 3.5 is 7.1 points back.
Also refreshed today: Gemini 4 Carbon: Output speed 87.08 · Claude Opus 5.5: Output speed 97.31 · Claude Fable 5.1: Output speed 72.34 · Gemini 4 Argon: Output speed 77.94 · GPT-6.1 Sol: Output speed 74.27 · Claude Sonnet 5.5: Output speed 136.04 · GPT-6 Astra: Output speed 76.62 · GPT-6.1 Terra: Output speed 105.6 and 46 more.
The leaderboard today
| # | Model | Lab | Index | Δ day |
|---|---|---|---|---|
| 1 | Gemini 4 Carbon | 86.6 | 0.0 | |
| 2 | Claude Opus 5.5 | Anthropic | 83.8 | 0.0 |
| 3 | Claude Fable 5.1 | Anthropic | 82.9 | +0.1 |
| 4 | Muse Wonder Full | Meta | 79.4 | 0.0 |
| 5 | Gemini 4 Argon | 79.2 | 0.0 |
| # | Model | Params | Index |
|---|---|---|---|
| 1 | Hy4 preview | 780B (40B active) | 78.9 |
| 2 | Seed-2.0-Mini | — | 71.7 |
| 3 | GLM-5.3 | 753.3B (40B active) | 70.9 |
| 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: 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.
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.
