Green R

Green R is positioned within the gpt-oss family as a multimodal assistant that accepts text and image input while returning text responses, making it suitable for workflows that combine documents or screenshots with natural-language instructions. Its capability profile, including attachments, reasoning, tool calling, temperature control, and structured output, points to a general-purpose model intended for application builders who need predictable formatting and programmatic interaction rather than open-ended chat alone.

For practitioners, the practical strengths of Green R lie in its balance of flexibility and control: the long context window allows substantial documents or multi-turn agent traces to be processed in one session, while structured output and tool calling make it well-suited to pipelines that hand work off between models and external services. As part of the gpt-oss lineage and released as open weights, it is also a reasonable option for teams that want to inspect, fine-tune, or self-host a reasoning-capable model rather than rely solely on a hosted API.