Rio 3.0 Open Mini Rio 3.0 Open Mini is a frontier class reasoning model developed by IplanRIO, the municipal IT company of Rio de Janeiro's city government. Built through distillation on top of Qwen3 4B Thinking 2507 using reasoning traces from our to be announced Rio 3.0 model, Rio 3.0 Open achieves state of the art results across mathematics, STEM, and code benchmarks — surpassing its base model by significant margins and competing with models far larger than itself. Rio 3.0 Open Mini features SwiReasoning , a training free inference framework based on Shi et al. (2025) that dynamically switches between explicit chain of thought and latent space reasoning, guided by entropy based confidence signals. This enables both higher accuracy and dramatically improved token efficiency. This model was explicitly trained to maximize the efficiency gained via latent reasoning. Key Features 4B total parameters 262,144 token context window SwiReasoning integration — dynamic explicit/latent reasoning switching for Pareto superior accuracy and efficiency Distilled from Qwen3 4B Thinking 2507 with traces from Rio 3.0 Multilingual — strong performance in Portuguese, English, Chinese, and dozens of…
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