A new model joined the thinQit Index in the 11 November 2026 refresh, led by Muse Ember.
Who joined
| # | Model | Lab | Index |
|---|---|---|---|
| 51 | Muse Ember | Meta | 74.7 (provisional) |
Why it matters
Its strongest capability is Coding at 74.2; 2 of 7 capabilities are covered, so it stays provisional until a second substantive one lands.
The leaderboard today
| # | Model | Lab | Index | Δ day |
|---|---|---|---|---|
| 1 | Gemini 4 Carbon | 86.7 | 0.0 | |
| 2 | Claude Opus 5.5 | Anthropic | 82.0 | 0.0 |
| 3 | Claude Fable 5.1 | Anthropic | 81.5 | 0.0 |
| 4 | Hy4 preview | Tencent | 79.9 | 0.0 |
| 5 | Muse Wonder Full | Meta | 79.4 | 0.0 |
| # | Model | Params | Index |
|---|---|---|---|
| 1 | Hy4 preview | 780B (40B active) | 79.9 |
| 2 | Seed-2.0-Mini | — | 71.7 |
| 3 | GLM-5.3 | 753.3B (40B active) | 70.9 |
| 4 | DeepSeek V4 Flash | 304.2B (24B active) | 69.6 |
| 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: 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.
