What changed on the public AI leaderboards in the 4 October 2026 refresh of the thinQit Index, and what it means for the rankings.
What changed
- Grok 4.6 lost 1.1 Index points (69.3 → 68.2) after new results: Output speed 124.76 → 0.
- Gemini 3.8 Flash moved up from #11 to #10 on the frontier leaderboard, passing DeepSeek V4 Pro (Index 72.6 → 72.7).
- DeepSeek V4 Pro slipped from #10 to #11 on the frontier leaderboard, passed by Gemini 3.8 Flash (Index 72.7 → 72.6).
Why it matters
Output speed feeds the Speed & price capability, which carries 5 % of the Index. The gap to #20 Gemini 3.1 Pro is 1.0 Index points. Behind it, #22 Inkling is 7.4 points back.
Also refreshed today: Claude Fable 5.1: Output speed 71.22 · Muse Spark 1.3: Output speed 194.53 · Kimi K3: Output speed 36.43 · Qwen3.8 Max: Output speed 37.96 · Gemini 3.8 Flash: Output speed 270.39 · DeepSeek V4 Pro: Output speed 140.31 · GPT-6 Astra: Output speed 61.41 · GPT-5.6 Terra: Output speed 111.9 and 30 more.
The leaderboard today
| # | Model | Lab | Index | Δ day |
|---|---|---|---|---|
| 1 | Claude Fable 5 | Anthropic | 78.4 | 0.0 |
| 2 | Claude Opus 5.5 | Anthropic | 78.2 | 0.0 |
| 3 | Claude Fable 5.1 | Anthropic | 76.9 | 0.0 |
| 4 | Seed 2.0 Pro | ByteDance Seed | 76.5 | 0.0 |
| 5 | Claude Opus 5 | Anthropic | 75.8 | 0.0 |
| # | Model | Params | Index |
|---|---|---|---|
| 1 | GLM-5.3 | 753.3B (40B active) | 71.9 |
| 2 | Seed-2.0-Mini | — | 71.7 |
| 3 | DeepSeek V4 Flash | 304.2B (24B active) | 71.0 |
| 4 | GLM-5.3-Flash | 321.3B (32B active) | 70.0 |
| 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.
