Pixtral-12B-2409 is a 12-billion-parameter multimodal model by Mistral AI, combining a 12B-parameter text decoder with a 400M-parameter vision encoder. It processes interleaved text and images natively, supporting variable image sizes and a 128K-token context window for long-form document analysis or multi-image workflows. The model excels in tasks like chart understanding, OCR, and multilingual reasoning, outperforming similar-sized open models (e.g., Qwen2-VL 7B, LLaVA-OV 7B) and even larger models like Llama-3.2 90B in benchmarks like MMMU (52.5%) and MathVista (58.0%)