OpenAI: GPT-6 Sol (batch)

OpenAI's GPT-6 Sol (batch) accepts text, image, and file inputs and offers a context window of 1,050,000 tokens, with completions capped at 128,000 tokens. It supports tool use and reasoning, which makes it a candidate for agent-style workflows and multi-step tasks over large documents or mixed-media inputs. The listing does not specify structured output support or whether weights are open, so teams that depend on either should confirm before committing. At $1.00 per million input tokens and $5.00 per million output tokens, it suits buyers who need very long context and tool use without paying a premium per token. Its blended benchmark score of 81.4 is respectable, but it rests on a single independent benchmark, so its standing is thinly evidenced. Shortlist it for long-context, multimodal workloads where cost matters, and run your own evaluations before relying on that score for model selection.