GPT 6.1 Sol Model Overview: Million-Token Context and Multi-Step Task Capabilities

2026-10-09 · 原创·模型聚焦

GPT 6.1 Sol Model Focus: A Powerful Engine for Complex Programming and Multi-Step Tasks

Model Positioning

GPT 6.1 Sol is a high-performance chat model from OpenAI, officially described as delivering "near-Astra performance." The model excels at complex programming, computer operation, and professional work. By combining advanced reasoning capabilities with robust tool-calling abilities, it can handle long-running, multi-step tasks. For development scenarios that require deep reasoning and sustained context tracking, GPT 6.1 Sol offers a compelling balance of capability and cost-effectiveness.

Core Parameters and Pricing Advantages

GPT 6.1 Sol features a context window of 1,050,000 tokens, allowing developers to load substantial codebases, technical documentation, or lengthy business contexts into a single session without frequent truncation or segmentation.

On pricing, the official listed rate is $2 per million tokens for input and $10 per million tokens for output. Compared to similarly capable reasoning models, this pricing offers a clear cost advantage in million-token context scenarios—particularly when the input side needs to carry large volumes of reference materials, the $2 input rate effectively controls the cost of long-context calls.

Suitable Business Scenarios

1. Large-Scale Codebase Understanding and Complex Programming

The 1.05-million-token context window enables GPT 6.1 Sol to load the core code of medium-sized projects in a single pass. Combined with its complex programming capabilities, it is well-suited for cross-file code review, architecture refactoring suggestions, and batch code generation. Developers can input multiple modules of source code alongside technical specifications, allowing the model to produce more consistent recommendations with full context awareness.

2. Automated Computer Operation and Tool Orchestration

The model's robust tool-calling ability allows it to handle long-running, multi-step tasks. In scenarios such as automated DevOps, data processing pipelines, and multi-tool collaboration, GPT 6.1 Sol can serve as a task orchestration engine—calling external tools step by step and making reasoning-based decisions from intermediate results, reducing manual intervention.

3. Long-Document Analysis and Reasoning in Professional Domains

For work requiring deep reasoning—such as legal contract review, technical research report generation, and multi-round professional consulting—GPT 6.1 Sol's long context and reasoning capabilities can support comprehensive analysis of large volumes of professional materials, producing structured conclusions.

API Call Example

Below is an OpenAI-compatible curl example:

curl -X POST "平台 API 地址/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-6.1-sol",
    "messages": [
      {"role": "system", "content": "You are a professional programming assistant."},
      {"role": "user", "content": "Analyze the architecture of the following codebase and provide optimization suggestions."}
    ],
    "temperature": 0.7
  }'

Summary

With its million-token context, near-Astra performance, and competitive input pricing, GPT 6.1 Sol provides a solid foundation for complex programming, tool orchestration, and long-document reasoning scenarios. If you are looking for a model that can handle large-scale context and execute multi-step tasks, visit the model marketplace to experience GPT 6.1 Sol firsthand.