How much does OpenAI: GPT-6 Sol cost on Ofox?

OpenAI: GPT-6 Sol on Ofox.ai costs $2 per million input tokens and $10 per million output tokens. Pay-as-you-go, no monthly fees.

What is OpenAI: GPT-6 Sol's context window?

OpenAI: GPT-6 Sol supports a context window of 1,050,000 tokens, allowing you to process large documents and maintain long conversations.

How to use OpenAI: GPT-6 Sol API via Ofox?

Simply set your base URL to https://api.ofox.ai/v1 and use your Ofox API key. The API is OpenAI-compatible — just change the base URL and API key in your existing code.

What capabilities does OpenAI: GPT-6 Sol support?

OpenAI: GPT-6 Sol supports the following capabilities: vision, function calling, reasoning, prompt caching, web search. Access all features through the Ofox.ai unified API.

OpenAI: GPT-6 Sol

Name: OpenAI: GPT-6 Sol
Brand: openai
Price: 2 USD
Availability: InStock

Chat

openai/gpt-6-sol

对比试用 Playground 开始使用

GPT-6 Sol 是 OpenAI GPT-6 系列的均衡型号，面向推理、编程和智能体任务，成本低于 GPT-6 Astra。它接受文本和图像输入并输出文本，可调节推理力度。支持视觉理解、函数调用、联网搜索和提示缓存，适用于交互式助手及工具调用工作流。上下文窗口：1.05M tokens，最大输出：128K。通过 Ofox 支持 OpenAI 与 Anthropic 两种协议，包括 OpenAI 兼容的 Chat Completions 和 Responses 端点。

上下文窗口

最大输出 Token

128K

发布日期

2026-09-22

能力

视觉函数调用推理提示缓存网络搜索

可用供应商

OpenAIAzure

支持的协议

openaianthropic

供应商

Azureprovider.type: "azure_foundry"

输入上下文 ≤ 272,000 Token

输入 Token

$2/M

输出 Token

$10/M

缓存读取

$0.2/M

缓存写入

$2.5/M

网络搜索

$0.01/R

输入上下文 > 272,000 Token

输入 Token

$4/M

输出 Token

$15/M

缓存读取

$0.4/M

缓存写入

$5/M

接入协议

openai/v1/chat/completions/v1/responses

anthropic

OpenAIprovider.type: "openai"

输入上下文 ≤ 272,000 Token

输入 Token

$2/M

输出 Token

$10/M

缓存读取

$0.2/M

缓存写入

$2.5/M

网络搜索

$0.01/R

输入上下文 > 272,000 Token

输入 Token

$4/M

输出 Token

$15/M

缓存读取

$0.4/M

缓存写入

$5/M

接入协议

openai/v1/responses

Playground

在 OfoxChat 中打开

代码示例

from openai import OpenAI

client = OpenAI(
    base_url="https://api.ofox.ai/v1",
    api_key="YOUR_OFOX_API_KEY",
)

response = client.chat.completions.create(
    model="openai/gpt-6-sol",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

print(response.choices[0].message.content)