GPT 6.1 Sol
OpenAI's high-performance reasoning model for complex coding, computer use, and professional work, with million-token context, vision, and broad tool support.
- Modalities
- Chat
- Starting price
- From $7.5 / 1M out
- Context
- 1.1M context
OpenAI
README
Supported Functionality
| Item | Specification |
|---|---|
| Input | Text, images |
| Output | Text |
| Context | 1,050,000 tokens |
| Max Output | 128,000 tokens |
| Vision | ✓ Supported |
| Function Calling | ✓ Supported through the Responses API; tool calling is unavailable in Chat Completions |
Description
GPT-6.1 Sol is a high-performance reasoning model released by OpenAI on September 29, 2026. Its API identifier is gpt-6.1-sol. It accepts text and image input, produces text, provides a 1,050,000-token context window with up to 128,000 output tokens, and has a knowledge cutoff of April 30, 2026.
The model is designed for complex coding, computer use, and professional knowledge work, with OpenAI positioning it near GPT-6 Astra in overall capability. It supports five reasoning levels—low, medium, high, xhigh, and max—and uses the Responses API for web search, file search, Code Interpreter, hosted shell, Apply Patch, Skills, Computer Use, MCP, Tool Search, and related tools.
Key Capabilities
- Complex Software Engineering: Handles cross-file changes, architecture analysis, defect diagnosis, major refactors, and test validation.
- Computer Use: Interprets screenshots and interface state to complete multistep browser or desktop operations.
- Professional Knowledge Work: Synthesizes demanding requirements and large source sets into analysis, proposals, and decision materials.
- Long-Context Understanding: Connects large codebases, document collections, history, and tool results in one request.
- Adjustable Reasoning: Uses five
reasoning.effortlevels to match task difficulty, reliability, and response needs. - Vision: Analyzes screenshots, charts, pages, and document images as evidence within its reasoning.
- Agent and Tool Orchestration: Combines search, files, code, shell, Computer Use, MCP, and multi-agent delegation for complex execution.
Technical Strengths
| Feature | Benefit |
|---|---|
| Near-Astra Capability | Provides high-level reasoning and execution for complex coding, computer operation, and professional work. |
| 1.05M Context Window | Holds substantial code, long documents, project history, and multiple tool results together. |
| 128K Output Limit | Supports complete code changes, extensive reports, and large structured deliverables. |
| Five Reasoning Levels | Adjusts depth from low through max, with medium as the default. |
| Responses API Tooling | Connects natively to search, files, code, shell, Computer Use, MCP, Skills, and related tools. |
| Multi-Agent Delegation | A beta Responses capability lets the model assign independent work to subagents and synthesize their results. |
Frequently Asked Questions
How should I set reasoning effort for GPT-6.1 Sol?
The default medium level is a practical starting point for most complex tasks. Test low for focused edits and direct analysis, then progressively evaluate high, xhigh, or max for difficult debugging, professional judgment, and long-running agents. The model does not support none or minimal.
Should I choose GPT-6.1 Sol or GPT-6 Astra?
GPT-6.1 Sol suits most demanding coding, computer-use, and professional workloads. Compare the hardest reasoning, research, or engineering samples against GPT-6 Astra using identical inputs and acceptance criteria, then select by correctness, stability, tool success, and observed latency.
How should I use the long context window?
Organize material by file, source, or chronology and distinguish instructions, evidence, and background clearly. A 1.05M-token capacity does not make every detail equally important, so retrieval, staged validation, and evidence review remain valuable.
What tasks fit GPT-6.1 Sol's multi-agent capability?
It fits work that can divide into independent research, code analysis, testing, or document-processing subtasks. The parent task should define roles, output formats, and acceptance criteria, then resolve conflicts, cross-check findings, and assemble the final result.
How do I call GPT-6.1 Sol on LinkModel?
GPT-6.1 Sol is available on LinkModel. Open its live model page, copy the published model ID, and submit text or image input with the request structure currently shown there. Treat the page as authoritative for the platform route, accepted parameters, and tool support instead of substituting the OpenAI API identifier.
How do I validate GPT-6.1 Sol on LinkModel?
Complete a basic text request with the ID shown on LinkModel, then separately test image input, long context, structured outputs, function calls, and Computer Use. Record response fields, truncation, errors, and tool results, and confirm which options LinkModel currently exposes for reasoning_effort, multi-agent delegation, and other GPT-6.1 features.
Pricing
Token-based pricing
Tiered by input prompt tokens (incl. cache): once over the threshold, the whole request is billed at the higher tier.
| Token Type | Short context ≤272K | Long context >272K |
|---|---|---|
| Input | $1.5$2-25% | $3$4-25% |
| Output | $7.5$10-25% | $11.25$15-25% |
| Cached input | $0.075$0.1-25% | $0.15$0.2-25% |
| cache_write | $1.875$2.5-25% | $3.75$5-25% |