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This week's 7-day Smoke test reveals GPT-5.5's execution score plummeting while two Claude models stage a dramatic reversal, though stability remains a concern. The data also highlights volatility and integrity rating fluctuations across multiple models.
The results of the Smoke Lite evaluation on June 5, 2026, show that 9 out of 11 models tied at 77.5 on the main leaderboard, forming a rare tie. Their common feature is that all scored a perfect 100 on the Code Execution dimension, but only 50 on the Material Constraint dimension.
Smoke's quick test results today clearly show that the code execution dimension is nearly saturated. Ten out of eleven models scored 100, while GPT-5.5 dropped to 50, dragging its main leaderboard score down to 59.99.
Run #141 data shows that Grok 4 improved by 10.8 points in a single round, GPT-5.5 improved by 9.2 points, while Qwen3 Max plummeted by 10.8 points. The divergence in adherence capabilities has become clearly visible.
The most brutal finding of the WDCD compliance test is that resource constraints crippled all models, with an average score of only 1.7 across 11 models, far below the other four scenarios.
The core findings of the WDCD three-round test are clear: nearly all models scored high in the constraint establishment phase, but after two rounds of interference, over 60% of models completely abandoned their original commitments under direct pressure.
The WDCD commitment test reveals model weaknesses through a three-round dialogue design. Only three out of eleven models scored 70, with Ernie Bot 4.5 forming a clear gap at 50.
In today's Smoke quick test results, Claude Opus 4.7, Claude Sonnet 4.6, and GPT-5.5 all scored 87.76 on the main leaderboard, tying for first place. The core reason is that all three achieved a perfect 100 in code execution, while scoring 72.8 in the materials constraint dimension, triggering a warn signal.
The most direct finding from today's Smoke lightweight benchmark is that code execution ability no longer differentiates the top seven models, as all scored 100, making rankings entirely determined by material constraint scores.
Smoke's lightweight evaluation completed 10-question quick test on 11 mainstream models. Claude Sonnet 4.6 scored 99.78 points, while the GPT series collectively stuck at 74 points, highlighting the polarization in AI capabilities.
In the latest WDCD cycle, all 11 evaluated models show improvement in compliance ability, with the top five all rising and none declining. Gemini 3.1 Pro leaps into the top three with a +14.2 point gain, signaling a major shift in the competitive landscape.
The WDCD compliance test evaluates model stability under real enterprise constraints through three rounds of dialogue. The resource limitation scenario scored the lowest overall, becoming a common "stumbling block" for all 11 models.
