No ranking changed hands in the 12 October 2026 refresh of the thinQit Index — so here is the story the standings are telling underneath.
Mover of the week
The rankings did not change today, but the Index did. Claude Opus 5.5 (Anthropic) is up +2.2 points over the past 7 days, from 78.2 to 80.4, and now sits at #1. At the other end, Seed 2.1 Pro is −12.0 over the same window, from 79.6 to 67.6 at #22.
| # | Model | Lab | Then (5 Oct) | Today | Δ |
|---|---|---|---|---|---|
| 1 | Claude Opus 5.5 | Anthropic | 78.2 | 80.4 | +2.2 |
| 8 | GPT-6 Astra | OpenAI | 72.6 | 74.8 | +2.2 |
| 3 | Claude Fable 5.1 | Anthropic | 76.9 | 78.4 | +1.5 |
| 6 | Muse Spark 1.3 | Meta | 75.0 | 76.1 | +1.1 |
| 13 | GLM-5.3 | Z.ai | 71.9 | 72.3 | +0.4 |
| 22 | Seed 2.1 Pro | ByteDance Seed | 79.6 | 67.6 | −12.0 |
Why it matters
Claude Opus 5.5 moved on fresh results: LMArena Vision 1293, LMArena WebDev 1813, LMArena Text 1507, LiveBench Agentic Coding 71.72%. Seed 2.1 Pro re-read on LMArena WebDev 1519, Humanity's Last Exam 55.7%. A single benchmark rarely moves the Index by more than a point on its own — the weighting spreads it across seven capabilities.
Also refreshed today: Claude Opus 5.5: Output speed 97.36 · Muse Spark 1.3: Output speed 224.25 · GPT-6 Astra: Output speed 60.52 · Kimi K3: Output speed 39.44 · Qwen3.8 Max: Output speed 35.42 · GPT-5.6 Terra: Output speed 118.84 · GLM-5.3: Output speed 74.41 · DeepSeek V4 Pro: Output speed 96.96 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 | Seed 2.0 Pro | ByteDance Seed | 76.5 | 0.0 |
| # | 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) | 70.7 |
| 5 | GLM-5.3-Flash | 321.3B (32B active) | 70.2 |
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.
