Anthropic
Claude 5.5 Haiku
High-throughput lightweight model matching Claude 3.5 Sonnet class intelligence at extreme speed and low token cost.
智商指数
87.5 #32
AAQI 88.0
输出速度
145 t/s
ITL 6.9 ms/tok
混合价格 (3:1)
$1.6 /1M
输入 $0.8/M · 输出 $4/M
上下文
500K
≈ 1,250 页 A4 · 最大输出 32,768
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Claude 5.5 Haiku
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
- Sonnet-3.5-class intelligence at a fraction of the price
- Fast enough for real-time interactive agents
- $0.80/$4 pricing for high-volume workloads
需要注意的权衡
- Below Sonnet/Opus on frontier reasoning
- No open weights
杀手级用例
Real-time copilots
Interactive completions and inline edits where latency is the constraint.
High-volume pipelines
Classification, extraction and summarization at scale.
Sub-agent swarms
Cheap worker agents orchestrated by a frontier planner.
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-haiku-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-haiku-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-haiku-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
实时规格与架构
底层解析
Haiku 5.5 — high-throughput lightweight tier
- Lightweight sibling of Sonnet 5.5 tuned for throughput
- 145 tok/s-class output with 500K context
- Prompt caching for cheap repeated prefixes
发布日期
2026年10月12日
架构
Haiku 5.5 — high-throughput lightweight tier
参数量
Not disclosed
开源协议
Proprietary
上下文窗口
500,000 tokens
最大输出
32,768 tokens
模态
text + image
缓存价格
读 $0.08 · 写 $1 /1M
推理
思考力度档位
输入价格
$0.8/M
输出价格
$4/M
输出速度
145 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{llmpodium2026claudehaiku55,
title = {Benchmark Analysis and Intelligence Evaluation of Claude 5.5 Haiku},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/claude-haiku-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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基于能力、定价和基准测试得分与 Claude 5.5 Haiku 最接近的替代模型。