image-to-text

AWS has added four multimodal evaluators to its Strands Evals SDK that judge image-to-text AI outputs by directly analyzing source images. The evaluators—Overall Quality, Correctness, Faithfulness, and Instruction Following—use multimodal large language models to detect visual hallucinations, factual errors, and instruction violations that text-only judges miss.

Alibaba's Qwen team has released Qwen3.5-35B-A3B-Base, a 35-billion parameter multimodal model supporting image-text-to-text tasks. The model is available under the Apache 2.0 license and compatible with major inference endpoints including Azure deployment.

Alibaba has released Qwen3.5-35B-A3B, a 35-billion parameter multimodal model capable of processing images and text. The model is published under an Apache 2.0 license and available on Hugging Face with Transformers and SafeTensors format support.