Anthropic

Claude 5.5 Sonnet

Anthropic next-generation frontier model featuring autonomous SWE capabilities, high-reliability tool loops, and industry-leading coding benchmarks.

#2发布于 2026年10月12日·Proprietary·Not disclosed
textimage1M ctx推理
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)
Coding (91.5)Mathematics (94.2)Hard Science (GPQA) (95)Agentic & Tool Use (89.4)Knowledge (MMLU) (88)Vision / Multimodal (96)

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."}]
  }'

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
查看提供商矩阵 →

各榜单得分

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
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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
Claude 5.5 Sonnet LLMPodium Score
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