gpt-6-sol

GPT-6 Sol is a mid-to-high-end, cost-effective flagship model launched by OpenAI specifically for high-difficulty, complex software engineering, long-term agentic workflows, and enterprise-level automation. As the core pillar of the GPT-6 family—sitting between the flagship Astra and the lightweight Luna—Sol inherits cutting-edge reasoning and computer-use capabilities while offering a 50% reduction in pricing compared to the previous generation, GPT-5.6. The model demonstrates exceptionally high factual accuracy in real-world large-scale codebase refactoring, vulnerability remediation, multi-step cross-software automation, and automated testing (hallucination errors reduced by approximately 50%). It is ideally suited for large-scale deployment of AI coding assistants, DevOps automation, and complex business applications.

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Core Capabilities

Project-Level Agentic Coding and Software Refactoring: Strong performance in repository-level code tests such as DeepSWE 1.1 and FrontierCode, excelling at feature implementation, complex debugging, code review, and end-to-end validation in large, real-world codebases.

Native Computer Use and Cross-Tool Automation: Inheriting the computer-operation capabilities of the GPT-6 generation, Sol can autonomously execute long, complex workflows across applications, desktop UIs, and CLI terminals.

Adaptive Multi-Level Reasoning: Native support for chain-of-thought configuration, offering multiple reasoning levels including none, low, medium (default), high, xhigh, and max. Developers can freely balance response latency and intelligence performance according to task difficulty.

1.1M Ultra-Long Context and 128K Export Capacity: By default, it supports an ultra-large context window of approximately 1,050,000 (1.1M) tokens and allows exporting long texts and code up to 128,000 tokens per session.