OpenAI Launches GPT-6.1 Sol with Near-Astra Performance at One-Fifth the Cost

OpenAI has introduced the GPT-6.1 Sol model for Codex and ChatGPT Work, delivering near-flagship performance at one-fifth the cost of GPT-6 Astra. The model is specifically tailored for long-running, repetitive tasks across codebases, applications, and technical documentation. By significantly cutting inference and context caching costs while preserving high reasoning capabilities, GPT-6.1 Sol makes large-scale automated software development economically feasible. It enables engineering teams to delegate prolonged coding workflows to AI agents without incurring prohibitive API bills. Standard pricing for short contexts (≤272k tokens) starts at $2.00 per 1M input tokens and $10.00 per 1M output tokens, with cached input reading priced at just $0.10 per 1M tokens. OpenAI offers four processing modes—Standard, Batch, Flex, and Fast—allowing users to balance response latency and operational expenses.