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A community member benchmarked three Qwen 3 quantized models (Flash, Swift, 27B) at four thinking effort levels on 14 recent AtCoder problems, finding that higher thinking effort rarely improves results and mainly increases token-capped failures, with Flash IQ3_S emerging as the best speed-accuracy compromise.
Thinking Machines Lab releases Inkling, a 975B-parameter open-weights multimodal MoE model with 41B active parameters and a controllable thinking effort feature. It uses an encoder-free approach for multimodality and achieves state-of-the-art on several benchmarks.