OpenAI: GPT-5.6 Sol (batch)

GPT-5.6 Sol (batch) is an OpenAI model that accepts text, image, and file inputs. It offers a context window of about 1.05 million tokens and can return up to 128,000 tokens in a single completion, which suits long documents and large multi-file inputs. It supports tool calling and reasoning. The listing does not specify structured output support or open weights, so treat those as unconfirmed. At $2.00 per million input tokens and $10.00 per million output tokens, it belongs on the shortlist for teams that need very long context alongside strong benchmark standing. Its blended score of 99.3 rests on only three benchmarks, so its overall standing is less thoroughly tested than broader coverage would allow. Within that set, it scores 100.0 on coding, 97.2 on the general AI index, and 89.1 on agentic tasks. Coding-heavy workloads have the clearest case. Agent-driven pipelines should be tested against alternatives before you commit.