No ranking changed hands in the 7 October 2026 refresh of the thinQit Index — so here is the story the standings are telling underneath.
Open weights vs the frontier
The best model whose weights you can download is Kimi K3 (Moonshot AI), #7 on the frontier board at 73.8. Claude Fable 5 leads at 78.4, so the gap between "best available" and "best you can host" is 4.6 Index points — it was 4.8 on 30 September 2026.
| # | Model | Params | Index | Behind #1 frontier |
|---|---|---|---|---|
| 1 | GLM-5.3 | 753.3B (40B active) | 71.9 | −6.5 |
| 2 | Seed-2.0-Mini | — | 71.7 | −6.7 |
| 3 | DeepSeek V4 Flash | 304.2B (24B active) | 70.9 | −7.5 |
Why it matters
The gap narrowed by 0.2 points over the past 7 days. Today the difference is largest on Agentic (8.3 points). Kimi K3 already beats Claude Fable 5 on Speed & price. Check what your own machine can actually load in the Will it run? tool.
Also refreshed today: Claude Opus 5.5: Output speed 96.82 · Claude Fable 5.1: Output speed 69.25 · Muse Spark 1.3: Output speed 133.76 · Kimi K3: Output speed 45.07 · Qwen3.8 Max: Output speed 36.74 · DeepSeek V4 Pro: Output speed 165.76 · GPT-6 Astra: Output speed 51.52 · GPT-5.6 Terra: Output speed 103.76 and 32 more.
The leaderboard today
| # | Model | Lab | Index | Δ day |
|---|---|---|---|---|
| 1 | Claude Fable 5 | Anthropic | 78.4 | 0.0 |
| 2 | Claude Opus 5.5 | Anthropic | 78.2 | 0.0 |
| 3 | Claude Fable 5.1 | Anthropic | 76.9 | 0.0 |
| 4 | Seed 2.0 Pro | ByteDance Seed | 76.5 | 0.0 |
| 5 | Claude Opus 5 | Anthropic | 75.8 | 0.0 |
| # | Model | Params | Index |
|---|---|---|---|
| 1 | GLM-5.3 | 753.3B (40B active) | 71.9 |
| 2 | Seed-2.0-Mini | — | 71.7 |
| 3 | DeepSeek V4 Flash | 304.2B (24B active) | 70.9 |
| 4 | GLM-5.3-Flash | 321.3B (32B active) | 69.9 |
| 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: 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.
