SmolLM3 is a new competitive 3B multilingual language model designed for efficient deployment, outperforming similar models while maintaining a focus on long-context reasoning. It incorporates innovative architectural changes and a thorough training methodology, including a three-stage data mixture approach and dual mode reasoning capabilities for enhanced user interaction. The complete engineering blueprint is shared to facilitate model reproduction and understanding of its performance drivers.

Qwen3-235B-A22B-Thinking-2507 showcases significant advancements in reasoning capabilities, achieving state-of-the-art performance in various tasks such as logical reasoning and coding. With enhanced long-context understanding and improved general capabilities, this model is recommended for complex reasoning tasks and supports ultra-long text processing through innovative techniques.