What changed on the public AI leaderboards in the 5 October 2026 refresh of the thinQit Index, and what it means for the rankings.
What changed
- DeepSeek V4 Pro moved up from #11 to #10 on the frontier leaderboard, passing Gemini 3.8 Flash (Index 72.6 → 72.7).
- Gemini 3.8 Flash slipped from #10 to #12 on the frontier leaderboard, passed by DeepSeek V4 Pro and GPT-6 Astra (Index 72.7 → 72.5).
Why it matters
DeepSeek V4 Pro now leads Gemini 3.8 Flash by 5.5 points on Coding, the widest gap between the two. Gemini 3.8 Flash still wins Human pref. and Speed & price. The gap to #9 Qwen3.8 Max is 0.3 Index points. Behind it, #11 GPT-6 Astra is 0.1 points back.
Also refreshed today: Claude Opus 5.5: Output speed 96.75 · Claude Fable 5.1: Output speed 70.37 · Muse Spark 1.3: Output speed 170.85 · Kimi K3: Output speed 35.66 · Qwen3.8 Max: Output speed 36.68 · DeepSeek V4 Pro: Output speed 154.34 · GPT-6 Astra: Output speed 65.11 · Gemini 3.8 Flash: Output speed 243.47 and 29 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) | 69.9 |
| 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.
