OpenAI
GPT-6.1 Sol
OpenAI updated frontier reasoning model with enhanced long-horizon planning, refined code synthesis, and reduced hallucination rates.
智商指数
92.4 #11
AAQI 93.0
输出速度
75 t/s
ITL 13.3 ms/tok
混合价格 (3:1)
$10 /1M
输入 $5/M · 输出 $20/M
上下文
1M
≈ 2,500 页 A4 · 最大输出 65,536
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
GPT-6.1 Sol
Claude Mythos Preview (#1)
Average (68)
缺少直接基准测量时,雷达图各轴由类别得分近似得出 — 详见 评分方法。
优势与取舍
优势所在
- Near-Astra intelligence at a fraction of the cost
- Top SWE-bench-tier verified coding
- Cheapest cache reads in the GPT-6 family
需要注意的权衡
- Still below Astra on frontier reasoning
- Closed weights; usage-based pricing only
杀手级用例
Codex-style agents
Day-to-day agentic coding at sustainable cost.
CI fix loops
Cheap cached prompts for repeated repo context.
Professional knowledge work
Analysis, drafting and structured reasoning.
开发者快速上手与 API
请先设置
OPENAI_API_KEY — 获取 API 密钥curl https://api.openai.com/v1/responses \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "gpt-6.1-sol",
"input": "Refactor this function for O(n) time and explain the change."
}'from openai import OpenAI
client = OpenAI() # reads OPENAI_API_KEY
resp = client.responses.create(
model="gpt-6.1-sol",
input="Refactor this function for O(n) time and explain the change.",
)
print(resp.output_text)const res = await fetch("https://api.openai.com/v1/responses", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({ model: "gpt-6.1-sol", input: "Refactor this function for O(n) time and explain the change." }),
});
console.log((await res.json()).output_text);官方资源与链接
API 部署
对比托管商与延迟
Groq、Cerebras、Together、DeepInfra、Fireworks、Bedrock 与 Azure 的吞吐量、TTFT 和缓存定价。
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
各榜单得分
分类能力得分
基准测试分项
实时对决
实时规格与架构
底层解析
GPT-6.1 Sol — DevDay coding refresh
- Near-Astra coding performance at roughly one-fifth the token price
- 95% discount on cached input tokens for repo-scale prompts
- Tuned for agentic coding and computer use
发布日期
2026年10月8日
架构
GPT-6.1 Sol — DevDay coding refresh
参数量
Not disclosed
开源协议
Proprietary
上下文窗口
1,000,000 tokens
最大输出
65,536 tokens
模态
text + image
缓存价格
读 $0.5 · 写 $5 /1M
推理
思考力度档位
输入价格
$5/M
输出价格
$20/M
输出速度
75 t/s
首Token延迟
—
数据更新
2026年10月12日
每月账单预估
每月预估支出
$0.00
正在计算相对 GPT-4o 的节省额…
引用与嵌入
GitHub Markdown 徽章
Loading badge markdown...BibTeX
@misc{llmpodium2026gpt61sol,
title = {Benchmark Analysis and Intelligence Evaluation of GPT-6.1 Sol},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/gpt-6-1-sol}
}嵌入评分徽章
将实时 Podium 评分徽章添加到 GitHub 或 Hugging Face README —— 链接回实时排名。
预览
Markdown
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