What changed on the public AI leaderboards in the 24 October 2026 refresh of the thinQit Index, and what it means for the rankings.
What changed
- Qwen3.5 4B lost 3.7 Index points (30.2 → 26.5) after new results: SEAL · MultiChallenge new at 25.13%; Output speed 15.43 → 14.28.
- Gemma 4 E4B gained 2.0 Index points (10.3 → 12.3) after new results: SEAL · MultiChallenge new at 43.23%; Output speed 44.19 → 45.02.
Why it matters
SEAL · MultiChallenge feeds the Agentic capability, which carries 15 % of the Index. The gap to #23 Nemotron 3.5 Lightning 30B-A3B is 2.1 Index points. Behind it, #25 Ministral 3 14B is 3.3 points back.
Also refreshed today: Claude Opus 5.5: Output speed 97.21 · Claude Fable 5.1: Output speed 70.61 · Muse Spark 1.3: Output speed 402.02 · GPT-6 Astra: Output speed 63.83 · Kimi K3: Output speed 38.86 · Qwen3.8 Max: Output speed 39.68 · GPT-5.6 Terra: Output speed 129.6 · DeepSeek V4.1 Flash: Blended price 0.52 and 33 more.
The leaderboard today
| # | Model | Lab | Index | Δ day |
|---|---|---|---|---|
| 1 | Claude Opus 5.5 | Anthropic | 80.4 | 0.0 |
| 2 | Hy4 preview | Tencent | 78.9 | 0.0 |
| 3 | Claude Fable 5.1 | Anthropic | 78.4 | 0.0 |
| 4 | Claude Fable 5 | Anthropic | 77.9 | 0.0 |
| 5 | Muse Spark 1.3 | Meta | 76.9 | +0.3 |
| # | Model | Params | Index |
|---|---|---|---|
| 1 | Hy4 preview | 780B (40B active) | 78.9 |
| 2 | GLM-5.3 | 753.3B (40B active) | 72.3 |
| 3 | Seed-2.0-Mini | — | 71.7 |
| 4 | DeepSeek V4 Flash | 304.2B (24B active) | 70.4 |
| 5 | GLM-5.3-Flash | 321.3B (32B active) | 70.3 |
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, LLM-Stats, 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.
