#long-context reasoning

Microsoft introduces Phi-4-mini-Flash-Reasoning, a compact 3.8B parameter model optimized for efficient long-context reasoning and fast inference, outperforming previous models on complex benchmarks.

Hugging Face has launched SmolLM3, a 3 billion parameter multilingual language model capable of reasoning over long contexts up to 128k tokens. It delivers strong performance with a compact architecture suitable for constrained hardware.

QwenLong-L1 introduces a structured reinforcement learning approach enabling large language models to excel at long-context reasoning tasks, achieving state-of-the-art results on multiple benchmarks.