GPT-6.1 Sol is an OpenAI model for complex coding, computer use, and professional workflows. It is available through the OpenAI API as gpt-6.1-sol, with tool support through the Responses API. This profile summarizes its documented limits, pricing, supported tools, access, and practical evaluation steps.
Reviewed October 15, 2026. Pricing, model availability, and usage limits can change. Verify the official model page and rate card before deploying or budgeting for production use. Aiverio has not independently benchmarked this model.
GPT-6.1 Sol at a glance
| Detail | Current documentation |
|---|---|
| API model ID | gpt-6.1-sol |
| Designed for | Complex coding, computer use, and professional agent workflows |
| Context window | 1,050,000 tokens |
| Maximum output | 128,000 tokens |
| Standard short-context input price | $2 per 1 million tokens |
| Cached input price | $0.10 per 1 million tokens |
| Standard short-context output price | $10 per 1 million tokens |
| Reasoning effort | Low, medium, high, extra high, and maximum; none and minimal are not supported |
| Primary API path for tools | Responses API |
What is GPT-6.1 Sol?
OpenAI positions GPT-6.1 Sol as a model that brings near-flagship performance to complex coding, computer use, and professional work at lower standard token rates than GPT-6 Astra. It is intended for workflows that require more than a short conversational answer, such as analyzing a codebase, using tools across multiple steps, or working through structured professional tasks.
Model names and product access can be confusing. GPT-6.1 Sol is the API model identifier; access through ChatGPT Work or Codex follows the relevant product and plan rules. An app subscription should not be treated as unlimited API usage, and API billing should be estimated separately from any included product usage.
API pricing and long-context rates
The published standard short-context API rates are $2 per million input tokens, $0.10 per million cached input tokens, and $10 per million output tokens. The pricing page lists higher rates for long-context requests that exceed 272,000 input tokens. Tool-specific usage and service tiers can also affect the total bill.
| Rate per 1 million tokens | Standard short context | Long context |
|---|---|---|
| Input | $2.00 | $4.00 |
| Cached input | $0.10 | $0.20 |
| Cache writes | $2.50 | $5.00 |
| Output | $10.00 | $15.00 |
These figures are not a complete project estimate. Count retries, repeated context, tool calls, and the cost of reviewing or correcting the result. For a production estimate, calculate cost per accepted task rather than assuming that a model with a lower token price will always be cheaper.
See the official GPT-6.1 Sol model reference for current rates and the OpenAI API pricing page for the wider rate card.
Context window and reasoning controls
The model reference lists a 1,050,000-token context window and a maximum output of 128,000 tokens. GPT-6.1 Sol supports reasoning-effort settings from low through maximum, with medium as the documented default. None and minimal reasoning-effort settings are not supported for this model.
A large context window does not guarantee perfect recall or reliable reasoning across every long input. Test whether the model can retrieve key details, follow constraints, and produce a verifiable result on your actual documents or repository. Longer inputs can also move a request into the higher long-context pricing band.
Supported tools and API workflow
OpenAI documents tool support through the Responses API, including web search, file search, image generation, code interpreter, hosted shell, apply patch, skills, computer use, Model Context Protocol (MCP), and tool search. The model also supports function calling. Chat Completions is supported without tool calling, so choose the endpoint based on the workflow you need.
Tool support is not a guarantee that every tool is enabled for every account or request. Availability depends on the endpoint, account limits, permissions, and configuration. Review the current API documentation before building around a particular tool.
Access and availability
OpenAI lists gpt-6.1-sol as available through the API, subject to the applicable usage tier and rate limits. OpenAI’s product announcement also describes access through ChatGPT Work and Codex for eligible Plus, Pro, Business, Enterprise, and Edu users; it distinguishes those surfaces from Chat, where GPT-6.1 Sol was not listed as available at the time of that announcement. Product availability can change, so confirm the current model selector and plan details before relying on access.
Who should evaluate GPT-6.1 Sol?
- Developers who want to test multi-step coding tasks, repository changes, or tool-assisted debugging.
- Agent builders who need a documented Responses API toolset and want to measure the quality of a complete workflow.
- Professional teams that can define clear acceptance criteria and review the model’s output before using it in consequential work.
It may be unnecessary for simple classification, short rewrites, or high-volume tasks where a smaller model already meets the quality target. Choose based on measured accuracy, latency, reliability, and cost per accepted result.
A practical evaluation checklist
- Choose a small set of real tasks with known success criteria.
- Use representative files, prompts, and tool permissions rather than a polished demo task.
- Record completion rate, correctness, latency, token usage, tool failures, retries, and human correction time.
- Run code tests and verify factual claims against original sources.
- Test failure cases, including missing information, unavailable tools, and ambiguous instructions.
- Start with least-privilege access and a sandbox; require human approval for writes, deployments, or external actions.
- Compare cost per accepted result with at least one alternative model.
For related options, see Best AI Coding Assistants and Aiverio’s AI Agent Governance Checklist. For a direct model-level comparison, use Gemini 4 Argon vs GPT-6.1 Sol for a direct model-level comparison.
Important limitations
- Vendor benchmark results should not be treated as independent Aiverio test results.
- Long-context requests can cost more than the standard short-context rates.
- Tool availability depends on endpoint and account configuration; verify current documentation.
- Do not give an agent broad credentials simply because the model supports computer use or tool calling.
- Review data-handling requirements before sending confidential or regulated information to an API.
Official sources
Frequently asked questions
What is the API model ID for GPT-6.1 Sol?
The model identifier is gpt-6.1-sol.
How much does GPT-6.1 Sol cost?
The standard short-context rate is $2 per million input tokens, $0.10 per million cached input tokens, and $10 per million output tokens. Requests above 272,000 input tokens use higher long-context rates in the current rate card.
Does GPT-6.1 Sol support tools?
Yes. OpenAI documents tool support through the Responses API, including web search, file search, code interpreter, hosted shell, computer use, MCP, and other tools. Confirm current availability and endpoint requirements before implementation.
Is GPT-6.1 Sol the best model for every coding task?
No model is best for every workload. Test it against your codebase, tests, acceptance criteria, review process, and cost limits before choosing it for production.
