Relevant models. Transparently assessed.

Officially documented multimodal input, long context and agent tools make the model worth evaluating for document, data and automation workflows. This does not yet demonstrate suitability for quality tasks.

OpenAI describes GPT-5.6 Sol for long-running coding, tool and agent tasks. FQI would primarily need to test process control, reproducible tool use and evidence-bound document work.

Anthropic highlights software engineering, knowledge work, vision and longer autonomous runs. Method separation, evidence fidelity and safe refusal still require separate validation for quality work.

The Apache 2.0 licence, open weights and text/image input make the model interesting for controlled local trials. Hardware needs and real quality-task performance cannot be derived from the announcement.

The small open variant is relevant for local preliminary trials with technical documents and visual inspection cases because it accepts text and image input. Results need case-specific validation against a reliable reference.

Open weights, tool use and local operation make the model relevant for controlled agent and document trials. Repository size does not indicate memory requirements or speed.

This compact open text model is a useful candidate for local comparison tests involving documents, structured output and straightforward automation tasks. Practical suitability for quality work has not yet been established through FQI testing.

The compact multimodal variant is a candidate for local document and image trials. The stated GGUF package comes from the llama.cpp ecosystem; licence terms and professional validation limits still need separate consideration.