GPT-6.1 Sol Explained: Pricing, Features and Impact for Indian Developers

What is GPT-6.1 Sol?

OpenAI announced GPT-6.1 Sol at its DevDay conference on September 29, 2026, positioning the model as a lower‑cost alternative that delivers performance close to its flagship Astra version while costing only a fifth of the price for coding and building workloads.[3]

Pricing and token limits

The model is offered at $2 per million input tokens and $10 per million output tokens, which reflects a 50 % reduction from the promotional rates of GPT‑5.6 Sol.[1] It provides a context window of 1.05 million tokens and can generate up to 128,000 tokens in a single response.[3]

Supported capabilities

GPT‑6.1 Sol can call web search, file search, code interpretation, a hosted shell, computer‑use functions, image generation, skills and the Model Context Protocol (MCP). Access is through OpenAI’s Responses API, which also supports function calling and structured outputs.[3]

Availability for Indian users

Initially the model is available in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu subscribers. Free and Go tier users can access the related GPT‑6 Luna model via the desktop app. The rollout in the standard ChatGPT interface is gradual, so users may need to check back if the model does not appear immediately.[1]

Dots – always‑on AI agents

Alongside the model, OpenAI introduced “Dots”, persistent AI agents powered by GPT‑6 Astra that run on dedicated cloud machines. Dots can connect to more than 4,000 applications, operate across multiple projects without step‑by‑step user direction and can be reached through ChatGPT, Slack and Microsoft Teams.[3]

Why it matters for developers in India

The reduced API price lowers the barrier for Indian startups and enterprises to experiment with advanced coding agents, automated workflows and AI‑assisted software development. Benchmarks cited by OpenAI show GPT‑6.1 Sol matching Claude Fable 5.1 performance on coding tasks while costing roughly 80 % less per task, making it a practical choice for teams that need strong capability without high expenses.[1]