Introducing efficiency focused "Thinking CAP" model series

Benchmark Model Rank Results
agents-on-claw-evalThinkingCap-Qwen3.6-27B#1Accuracy: 84.4
multi-task-language-understanding-on-mmlu-reduxThinkingCap-Qwen3.6-27B#3Accuracy: 93.9
multiple-choice-question-answering-mcqa-on-supergpqaThinkingCap-Qwen3.6-27B#8Accuracy: 64.0
arithmetic-reasoning-on-gsm8kThinkingCap-Qwen3.6-27B#9Accuracy: 96.5
multi-task-language-understanding-on-c-evalThinkingCap-Qwen3.6-27B#10Accuracy: 90.3
visual-question-answering-vqa-on-realworldqaThinkingCap-Qwen3.6-27B#10Accuracy: 81.9
code-generation-on-livecodebench-v6ThinkingCap-Qwen3.6-27B#12Pass@1: 84.3
multi-task-language-understanding-on-mmlu-proThinkingCap-Qwen3.6-27B#12Accuracy: 85.4
multiple-choice-question-answering-mcqa-on-gpqa-diamondThinkingCap-Qwen3.6-27B#43Accuracy: 83.8