What changed on the public AI leaderboards in the 17 October 2026 refresh of the thinQit Index, and what it means for the rankings.
What changed
- Muse Spark 1.3 moved up from #6 to #5 on the frontier leaderboard, passing Seed 2.0 Pro (Index 76.4 → 76.7).
- Seed 2.0 Pro slipped from #5 to #6 on the frontier leaderboard, passed by Muse Spark 1.3 (Index 76.5 → 76.5).
Why it matters
Muse Spark 1.3 now leads Seed 2.0 Pro by 11.7 points on Coding, the widest gap between the two. Seed 2.0 Pro still wins Reasoning. The gap to #4 Claude Fable 5 is 1.2 Index points. Behind it, #6 Seed 2.0 Pro is 0.2 points back.
Also refreshed today: Claude Opus 5.5: Output speed 97.77 · Claude Fable 5.1: Output speed 66.52 · Muse Spark 1.3: Output speed 280.93 · GPT-6 Astra: Output speed 59.8 · Kimi K3: Output speed 42.98 · Qwen3.8 Max: Output speed 37.83 · GPT-5.6 Terra: Output speed 124.1 · GLM-5.3: Output speed 76.28 and 32 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 | 78.3 | 0.0 |
| 4 | Claude Fable 5 | Anthropic | 77.9 | 0.0 |
| 5 | Muse Spark 1.3 | Meta | 76.7 | +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, 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.
