Apriel-1.6-15B-Thinker: Cost-Efficient Frontier Multimodal Performance (huggingface.co)

Apriel Labs has announced the release of Apriel-1.6-15B-Thinker, a state-of-the-art multimodal reasoning model with 15 billion parameters that delivers remarkable efficiency and performance, outperforming competitors with ten times its size. This model builds upon its predecessor, Apriel-1.5, refining its text and vision reasoning capabilities while achieving over 30% reduction in reasoning token usage. Trained on NVIDIA's high-performance cloud infrastructure, Apriel-1.6 achieved a score of 57 on the Artificial Analysis Index, positioning it favorably against larger models such as Qwen3 235B A22B and Gemini 2.5 Flash. The enhancements in Apriel-1.6 stem from an extensive post-training process that included thorough Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) phases, emphasizing reasoning quality and efficiency. The model was trained on diverse datasets, including synthetic text samples and multimodal data pairs, which bolster its reasoning across various tasks like visual question answering and coding. This advancement is particularly significant for the AI/ML community as it demonstrates that high-performing models can be built with limited computational resources, pushing the boundaries of efficiency and effectiveness, crucial for real-world enterprise applications.