The 2026-10-31 YZ Index Smoke rapid test covers 14 models, and Gemini 3.1 Pro ranked first for the day with 90.36 points. Smoke is a daily 10-question rapid test, suitable for observing short-term signals and not equivalent to conclusions from the weekly Full leaderboard.
This Smoke evaluation covers only two main leaderboard dimensions: code execution and material constraints. The main leaderboard formula is 0.55 × code execution + 0.45 × material constraints. Because the daily sample size is small, single-day scores are better used as monitoring signals rather than long-term conclusions about model capability.
Daily Ranking
| Rank | Model | Main Leaderboard | Code Execution | Material Constraints | Integrity |
|---|---|---|---|---|---|
| #1 | Gemini 3.1 Pro | 90.36 | 94 | 85.9 | pass |
| #2 | Doubao Pro | 88.48 | 81.5 | 97 | pass |
| #3 | GPT-6 Astra | 86.44 | 94 | 77.2 | pass |
| #4 | Claude Sonnet 4.6 | 85.18 | 94 | 74.4 | pass |
| #5 | DeepSeek V4 Pro | 84.87 | 94 | 73.7 | pass |
| #6 | GPT-6 Luna | 84.1 | 94 | 72 | pass |
| #7 | GPT-6.1 Sol | 84.1 | 94 | 72 | pass |
| #8 | Grok 4 | 83.83 | 94 | 71.4 | pass |
| #9 | Claude Opus 4.7 | 82.95 | 69 | 100 | pass |
| #10 | Gemini 2.5 Pro | 78.11 | 81.3 | 74.2 | pass |
| #11 | GPT-o3 | 77.69 | 69 | 88.3 | pass |
| #12 | GPT-6 Sol | 74.14 | 66.8 | 83.1 | pass |
| #13 | GPT-5.5 | 70.35 | 69 | 72 | pass |
| #14 | GLM-4.6 | 45.59 | 72 | 13.3 | pass |
Data Interpretation
In today's YZ Index Smoke rapid test, Gemini 3.1 Pro ranked first with a main leaderboard score of 90.36; its combination of 94 in code execution and 85.9 in material constraints shows relatively balanced performance. Doubao Pro had a main leaderboard score of 88.48, with code execution at 81.5 and material constraints at 97, showing a stronger material-constraints profile. Leading models such as GPT-6 Astra (main leaderboard 86.44, code execution 94, material constraints 77.2) and Claude Sonnet 4.6 (main leaderboard 85.18, code execution 94, material constraints 74.4) generally relied on a high code-execution level of 94 to support their overall scores.
DeepSeek V4 Pro gained 38.5 points on the main leaderboard and 69 points in code execution; Gemini 2.5 Pro gained 31 points on the main leaderboard and 57 points in code execution; Doubao Pro gained 27 points on the main leaderboard, 36.7 points in code execution, and 15.1 points in material constraints; Grok 4 gained 24.8 points on the main leaderboard and 45.9 points in code execution. These models' significant gains mainly came from improvements in code execution; GPT-6 Sol fell 16.4 points on the main leaderboard and 33.2 points in code execution, a clear decline.
Anomalous signals such as GPT-6 Luna's material constraints dropping sharply by 15.9 points, GPT-6 Sol's main leaderboard score dropping sharply by 16.4 points, GPT-5.5's main leaderboard score dropping sharply by 8.8 points, and GLM-4.6's material constraints dropping sharply by 43.6 points may stem from question sampling fluctuations or real degradation and require follow-up runs for confirmation; Qwen3 Max was not ranked due to incomplete data. As a small-sample single-day signal, Smoke should be interpreted with restraint.
Key Changes
- DeepSeek V4 Pro: Main leaderboard up 38.5 points, code execution +69 points, integrity warn→pass
- Gemini 2.5 Pro: Main leaderboard up 31 points, code execution +57 points
- Doubao Pro: Main leaderboard up 27 points, code execution +36.7 points, material constraints +15.1 points
- Grok 4: Main leaderboard up 24.8 points, code execution +45.9 points
- GPT-6 Sol: Main leaderboard down 16.4 points, code execution -33.2 points
Signals to Watch
- GPT-6 Luna: Material constraints dropped sharply by 15.9 points
- GPT-6 Sol: Main leaderboard dropped sharply by 16.4 points
- GPT-5.5: Main leaderboard dropped sharply by 8.8 points
- GLM-4.6: Material constraints dropped sharply by 43.6 points
- Qwen3 Max: Incomplete data (missing several evaluation dimensions; API failure/timeout), automatically queued for rerun, not ranked in this period
When reading this type of Smoke brief, focus on two questions: first, whether a model has exposed the same type of weakness for multiple consecutive days; second, whether its integrity rating has moved from pass to warn or fail. Large single-day changes in code-execution or material-constraint scores may come from question sampling or may be an early signal of real degradation, requiring follow-up runs for confirmation.
Data source: YZ Index | Run #404 | View raw data
© 2026 Winzheng.com 赢政天下 | 转载请注明来源并附原文链接