No ranking changed hands in the 13 October 2026 refresh of the thinQit Index — so here is the story the standings are telling underneath.
Head to head
Seed 2.0 Pro (ByteDance Seed, #5, Index 76.5) and Muse Spark 1.3 (Meta, #6, Index 76.1) are separated by 0.4 points — close enough that the choice between them should come down to what you actually run.
| Capability | Seed 2.0 Pro | Muse Spark 1.3 | Winner |
|---|---|---|---|
| Coding | 66.4 | 78.1 | Muse Spark 1.3 +11.7 |
| Reasoning | 81.5 | 76.5 | Seed 2.0 Pro +5.0 |
| Agentic | — | 73.9 | — |
| Human pref. | — | 81.3 | — |
| Math | 91.7 | — | — |
| Multimodal | — | 76.0 | — |
| Speed & price | — | 56.6 | — |
Why it matters
Seed 2.0 Pro takes 1 capability (Reasoning); Muse Spark 1.3 takes 1 capability (Coding). The Index weights coding at 25 % and reasoning at 20 %, so those two columns carry the ranking; if your work is closer to the columns Muse Spark 1.3 wins, the leaderboard order is not your order.
Also refreshed today: Claude Opus 5.5: Output speed 96.56 · Claude Fable 5.1: Output speed 67.2 · GPT-6 Astra: Output speed 60.98 · Kimi K3: Output speed 41.41 · Qwen3.8 Max: Output speed 37.02 · GPT-5.6 Terra: Output speed 119.97 · GLM-5.3: Output speed 70.34 · DeepSeek V4 Pro: Output speed 88.64 and 28 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 | −0.1 |
| 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) | 72.2 |
| 3 | Seed-2.0-Mini | — | 71.7 |
| 4 | DeepSeek V4 Flash | 304.2B (24B active) | 70.6 |
| 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.
