GPT-5.5 Tops with 93.54 Points: 2026-10-19 Smoke Quick Test Data Brief

On 2026-10-19, the YZ Index Smoke quick test covered 14 models, with GPT-5.5 ranking first for the day at 93.54 points. Smoke is a daily 10-question quick test suitable for observing short-term signals; it is 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

RankModelMainCode ExecutionMaterial ConstraintsIntegrity
#1GPT-5.593.549789.3pass
#2Grok 492.695.389.3pass
#3GPT-6 Astra82.339764.4pass
#4GPT-6 Sol82.339764.4pass
#5GPT-6.1 Sol82.339764.4pass
#6GPT-6 Luna81.169761.8pass
#7Claude Opus 4.779.797289.3pass
#8Doubao Pro74.527277.6pass
#9Claude Sonnet 4.674.371.677.6pass
#10Gemini 2.5 Pro70.1674.365.1pass
#11Gemini 3.1 Pro60.774777.6pass
#12GPT-o355.154765.1pass
#13DeepSeek V4 Pro49.524752.6pass
#14GLM-4.648.354750pass

Data Interpretation

In today's YZ Index Smoke quick test, GPT-5.5 ranked first on the main leaderboard with 93.54; its combination of 97 in code execution and 89.3 in material constraints created a balanced advantage. Grok 4 followed closely with 92.6 on the main leaderboard, also relying on a combination of 95.3 in code execution and 89.3 in material constraints. GPT-6 Astra, GPT-6 Sol, and GPT-6.1 Sol all scored 82.33 on the main leaderboard, with code execution also at 97 but material constraints at only 64.4, showing a structural feature weighted toward code execution. Claude Opus 4.7 scored 79.79 on the main leaderboard, and its pairing of 72 in code execution and 89.3 in material constraints presents a pattern in which material constraints are relatively more prominent.

GPT-6.1 Sol rose 28 points on the main leaderboard from the previous run under the same methodology, with code execution up 43.9 points; GPT-5.5 rose 25.4 points, with code execution up 38.7 points; GPT-6 Astra rose 23.8 points, with code execution up 38.7 points; GPT-6 Luna rose 22.3 points, with code execution up 43.9 points; Grok 4 rose 20.5 points, with code execution up 22.4 points and material constraints up 18.2 points. These single-day increases all come from small-sample tests and require follow-up runs to distinguish sampling fluctuation from actual change.

In terms of anomaly signals, DeepSeek V4 Pro plunged 18.6 points on the main leaderboard, GLM-4.6 material constraints plunged 30.2 points, and Qwen3 Max did not participate in the ranking because an API failure or timeout caused incomplete data. Under the small-sample single-day signals of Smoke, these fluctuations may stem from question sampling variation or temporary run differences; all require follow-up complete runs for confirmation and cannot support long-term judgments.

Key Changes

  • GPT-6.1 Sol: main leaderboard up 28 points, code execution +43.9 points, material constraints +8.5 points
  • GPT-5.5: main leaderboard up 25.4 points, code execution +38.7 points, material constraints +9.1 points
  • GPT-6 Astra: main leaderboard up 23.8 points, code execution +38.7 points, material constraints +5.5 points
  • GPT-6 Luna: main leaderboard up 22.3 points, code execution +43.9 points
  • Grok 4: main leaderboard up 20.5 points, code execution +22.4 points, material constraints +18.2 points

Signals to Watch

  • DeepSeek V4 Pro: main leaderboard plunged -18.6 points
  • GLM-4.6: material constraints plunged -30.2 points
  • Qwen3 Max: data incomplete due to API failure/timeout, automatically queued for a rerun, not included in this ranking

When reading this type of Smoke brief, focus on two questions: first, whether a model has repeatedly exposed the same type of weakness over multiple days; second, whether its integrity rating has moved from pass to warn or fail. Large single-day changes in execution or constraint scores may come from question sampling or may be early signals of real degradation, and require follow-up runs for confirmation.


Data source: YZ Index | Run #385 | View raw data

This article is from Winzheng Index blog, translated in full by Winzheng (winzheng.com). Click here to view the original When republishing the translation, please credit the source. Thank you!