What changed on the public AI leaderboards in the 19 October 2026 refresh of the thinQit Index, and what it means for the rankings.
What changed
- DeepSeek V4 Flash moved up from #5 to #4 on the local leaderboard, passing GLM-5.3-Flash (Index 70.3 → 70.5).
- GLM-5.3-Flash slipped from #4 to #5 on the local leaderboard, passed by DeepSeek V4 Flash (Index 70.4 → 70.4).
- Muse Spark 1.3 moved up from #6 to #5 on the frontier leaderboard, passing Seed 2.0 Pro (Index 76.2 → 76.6).
- LiveBench could not be read today; the values it feeds are carried over from the 2026-10-18 refresh and are marked on the page.
Why it matters
DeepSeek V4 Flash now leads GLM-5.3-Flash by 23.4 points on Speed & price, the widest gap between the two. GLM-5.3-Flash still wins Reasoning and Human pref.. The gap to #3 Seed-2.0-Mini is 1.2 Index points. Behind it, #5 GLM-5.3-Flash is 0.1 points back.
Also refreshed today: Claude Opus 5.5: Output speed 96.21 · Claude Fable 5.1: Output speed 73.5 · Muse Spark 1.3: Output speed 278.53 · GPT-6 Astra: Output speed 70.65 · Kimi K3: Output speed 41.66 · Qwen3.8 Max: Output speed 37.01 · GPT-5.6 Terra: Output speed 139.68 · GLM-5.3: Output speed 88.75 and 30 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 | 76.6 | +0.4 |
| # | Model | Params | Index |
|---|---|---|---|
| 1 | Hy4 preview | 780B (40B active) | 78.9 |
| 2 | GLM-5.3 | 753.3B (40B active) | 72.4 |
| 3 | Seed-2.0-Mini | — | 71.7 |
| 4 | DeepSeek V4 Flash | 304.2B (24B active) | 70.5 |
| 5 | GLM-5.3-Flash | 321.3B (32B active) | 70.4 |
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.
