Anthropic
Claude 5.5 Sonnet
Anthropic next-generation frontier model featuring autonomous SWE capabilities, high-reliability tool loops, and industry-leading coding benchmarks.
智商指数
94.8 #2
AAQI 95.0
输出速度
94 t/s
ITL 10.6 ms/tok
混合价格 (3:1)
$6 /1M
输入 $3/M · 输出 $15/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
Claude 5.5 Sonnet
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
- Best-in-class agentic coding — top of the SWE-bench Verified tier
- Preferred for long Claude Code sessions; consolidates shared logic instead of duplicating
- 1M context + 65K max output window
- Strong price-to-capability versus Opus-class models
需要注意的权衡
- Proprietary — no self-hosting or fine-tuning
- High-effort runs get expensive on long sessions
- Vision understanding trails Gemini's native multimodality
杀手级用例
Claude Code refactors
Multi-file issue-to-PR work — the model most developers pick for day-long sessions.
SWE-bench agents
Top-tier verified software-engineering agent loops with tool use.
Terminal agents
Shell planning, CI debugging and deployment automation.
开发者快速上手与 API
请先设置
ANTHROPIC_API_KEY — 获取 API 密钥curl https://api.anthropic.com/v1/messages \
-H "x-api-key: $ANTHROPIC_API_KEY" \
-H "anthropic-version: 2023-06-01" \
-H "content-type: application/json" \
-d '{
"model": "claude-sonnet-5-5",
"max_tokens": 1024,
"messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
}'import anthropic
client = anthropic.Anthropic() # reads ANTHROPIC_API_KEY
msg = client.messages.create(
model="claude-sonnet-5-5",
max_tokens=1024,
messages=[{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}],
)
print(msg.content[0].text)const res = await fetch("https://api.anthropic.com/v1/messages", {
method: "POST",
headers: {
"x-api-key": process.env.ANTHROPIC_API_KEY,
"anthropic-version": "2023-06-01",
"content-type": "application/json",
},
body: JSON.stringify({
model: "claude-sonnet-5-5",
max_tokens: 1024,
messages: [{ role: "user", content: "Refactor this function for O(n) time and explain the change." }],
}),
});
console.log((await res.json()).content[0].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
Sonnet 5.5 — undisclosed transformer
- Extended thinking with adjustable effort levels (low → xhigh)
- Context compaction keeps long agent sessions coherent without dropping state
- 1M-token context with prompt caching for repo-scale prompts
发布日期
2026年10月12日
架构
Sonnet 5.5 — undisclosed transformer
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 $0.3 · 写 $3.75 /1M
推理
思考力度档位
输入价格
$3/M
输出价格
$15/M
输出速度
94 t/s
首Token延迟
—
数据更新
2026年10月14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{llmpodium2026claudesonnet55,
title = {Benchmark Analysis and Intelligence Evaluation of Claude 5.5 Sonnet},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/claude-sonnet-5-5}
}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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替代模型推荐
基于能力、定价和基准测试得分与 Claude 5.5 Sonnet 最接近的替代模型。