OpenAI
o3旧版
Chain-of-thought reasoning model, a former math and code benchmark leader.
智商指数
32.0 #496
前 65% 梯队
输出速度
90 t/s
ITL 11.1 ms/tok
混合价格 (3:1)
$4.375 /1M
输入 $2.5/M · 输出 $10/M
上下文
200K
≈ 500 页 A4 · 最大输出 16,384
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
o3
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
- Cheap prompt-cache reads at $0.25/1M
- Reasoning mode with adjustable effort levels
需要注意的权衡
- Legacy tier — a newer successor is available
- Architecture and weights undisclosed — API access only
杀手级用例
Whole-repo analysis
Single-pass ingestion of large codebases, contracts or research corpora.
Vision & document OCR
Extracts structure from scans, charts, screenshots and mixed-media inputs.
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": "o3",
"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="o3",
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: "o3", 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
实时规格与架构
底层解析
- Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
- Prompt caching supported — cached input reads at $0.25/1M tokens.
发布日期
2025年4月15日
参数量
Not disclosed
开源协议
Proprietary
上下文窗口
200,000 tokens
最大输出
16,384 tokens
模态
text + image
缓存价格
读 $0.25 · 写 $3.125 /1M
推理
思考力度档位
输入价格
$2.5/M
输出价格
$10/M
输出速度
90 t/s
首Token延迟
—
数据更新
2026年8月5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
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@misc{llmpodium2026o3,
title = {Benchmark Analysis and Intelligence Evaluation of o3},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/o3}
}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
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