No ranking changed hands in the 7 November 2026 refresh of the thinQit Index — so here is the story the standings are telling underneath.
The lab race
Ranked one model per lab, the frontier board reads differently. Google is in front on its best model (Gemini 4 Carbon, 86.8), and Anthropic has the most models in the top 10 (5 of 10) — two different kinds of lead, and only one of them shows up at #1.
| Lab | Best model | # | Index | In top 10 | Ranked models |
|---|---|---|---|---|---|
| Gemini 4 Carbon | 1 | 86.8 | 2 | 5 | |
| Anthropic | Claude Opus 5.5 | 2 | 83.9 | 5 | 7 |
| Tencent | Hy4 preview | 4 | 79.9 | 1 | 1 |
| Meta | Muse Wonder Full | 5 | 79.5 | 1 | 5 |
| OpenAI | GPT-6.1 Sol | 8 | 78.1 | 1 | 7 |
| ByteDance Seed | Seed 2.0 Pro | 11 | 76.5 | 0 | 2 |
| DeepSeek | DeepSeek V4.1 Flash | 15 | 72.4 | 0 | 2 |
| Z.ai | GLM-5.2 | 17 | 71.7 | 0 | 2 |
| Alibaba · Qwen | Qwen3.8 Max | 26 | 67.9 | 0 | 2 |
| Moonshot AI | Kimi K3.1 Pro | 30 | 65.8 | 0 | 3 |
| xAI | Grok 4.6 | 31 | 65.2 | 0 | 2 |
| Reflection AI | Beam 1.0 | 32 | 65.1 | 0 | 1 |
| Xiaomi | MiMo-V2.6-Pro | 36 | 62.5 | 0 | 2 |
| MiniMax | MiniMax M3 | 38 | 60.5 | 0 | 2 |
| StepFun | Step 5 Preview | 43 | 57.1 | 0 | 1 |
| Mistral AI | Mistral Large 4 | 44 | 57.0 | 0 | 2 |
| Thinking Machines | Inkling | 45 | 54.7 | 0 | 1 |
| Institute Of Foundation Models | K2 Horizon | 47 | 53.3 | 0 | 1 |
| Cohere | Command A+ | 49 | 29.4 | 0 | 1 |
Why it matters
A lab with one strong model and nothing behind it is a different bet from a lab with 5 in the top 10: the second gives you a cheaper tier to fall back to when the flagship is too slow or too expensive for a job. The gap between the best and second-best lab today is 2.9 Index points.
The leaderboard today
| # | Model | Lab | Index | Δ day |
|---|---|---|---|---|
| 1 | Gemini 4 Carbon | 86.8 | 0.0 | |
| 2 | Claude Opus 5.5 | Anthropic | 83.9 | 0.0 |
| 3 | Claude Fable 5.1 | Anthropic | 82.9 | 0.0 |
| 4 | Hy4 preview | Tencent | 79.9 | 0.0 |
| 5 | Muse Wonder Full | Meta | 79.5 | 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) | 70.7 |
| 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.
