About this model
GPT-6.1 Sol is OpenAI's mid-tier reasoning model in the GPT-6 generation, sitting between the high-end GPT-6 Astra and the efficiency-oriented GPT-6 Luna. OpenAI positions it as delivering near-Astra capability at substantially lower cost for complex coding, computer use, and professional work. It carries a 1.05-million-token context window (922K input, 128K output), accepts text and image inputs, and exposes reasoning effort settings from low through max, with the minimal and none settings unsupported.
Its direct predecessor, GPT-6 Sol, shipped just a week earlier. OpenAI reports meaningful generational gains: on DeepSWE v1.1, a long-horizon software-engineering benchmark, GPT-6.1 Sol exceeds GPT-6 Sol's best score by 6.4 percentage points while running at lower reasoning effort and cost, and matches GPT-6 Astra at roughly a fifth of Astra's cost per task. OpenAI also reports that cached input pricing was halved relative to GPT-6 Sol, which matters for agents that reuse long prefixes.
The capability set aligns with the rest of the current generation: reasoning, vision, function calling, hosted tools and web search, with data residency options in the US and EU (fast mode is unavailable in the EU).
Access is through the Responses API for tool calling, with Chat Completions supported for non-tool use, plus Batch and Flex processing tiers. Earlier Sol-line models in the catalog include GPT-5.6 Sol and GPT-5.6 Sol Pro.
This About section is AI-generated from public sources (Claude Opus 5), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.
Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 2d ago