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OpenAI's GPT-4 Turbo is a high-quality instruction-tuned model with a 128K context window, image input support, and full tool-calling capabilities — well-suited for complex, long-context, and multimodal tasks served at interactive latency.
Each axis is the mean score across the family’s variants that have been scored on that dimension. Per-axis sample size is shown next to each label — the family currently aggregates up to 1 variant per axis.
Values aggregated across the family’s variants: any variant supporting a capability resolves the family to Supported; flag-driven support resolves to Optional; only when every variant explicitly denies a capability does the family render as Not supported. 15 of 15 capabilities have variant data so far.