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OpenAI's first-generation GPT-5 coding variant, built for agentic workflows. Offers a 400,000-token context window, configurable reasoning effort, and full tool-calling support via the Responses API — designed for developers who need sustained, multi-step code reasoning at frontier quality.
OpenAI's compact GPT-5 variant — multimodal input, 400K context, optional extended thinking, and tool calling — tuned for interactive, medium-complexity workloads at a lighter weight than full GPT-5.
OpenAI's fastest GPT-5 tier — optimised for high-volume classification, summarisation, and short-completion tasks with a 400K context window, vision and file input, and optional reasoning traces.
OpenAI's frontier agentic coding model combining top-tier software-engineering performance with broad professional reasoning, a 400K-token context window, and native support for reasoning traces and tool orchestration.
OpenAI's frontier chain-of-thought reasoning model, combining GPT-5 and Codex capabilities in a single system with a 1M-token context window and native vision and document input.
OpenAI's efficient GPT-5-generation model with a 400K context window, tool calling, structured output, and optional reasoning traces — optimised for high-throughput agentic and coding workloads.
OpenAI's frontier agentic instruct model with a 1M+ token context window, built for complex multi-step reasoning, long-document analysis, and autonomous tool orchestration.
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 7 variants 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.