Anthropic
Claude Fable 5.1
Frontier coding and agentic model by Anthropic with state-of-the-art SWE-Bench Verified performance.
智商指数
88.4 #26
前 3% 梯队
输出速度
85 t/s
TTFT 350 ms · ITL 11.8 ms/tok
混合价格 (3:1)
$6 /1M
输入 $3/M · 输出 $15/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 Fable 5.1
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
- Frontier coding at GA — top SWE-bench Verified tier
- Mythos-class capability with publicly documented mitigations
- 1M context with strong agentic and long-context scores
需要注意的权衡
- $10/$50 premium-tier pricing
- Some cybersecurity queries are down-routed to Opus 4.8
- Closed weights — API only
杀手级用例
Production agentic coding
Mythos-tier coding available to every developer through the standard API.
Knowledge work automation
Long-horizon document, analysis and research tasks.
Secure code review
High-recall review of large diffs with safeguarded output.
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-fable-5-1",
"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-fable-5-1",
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-fable-5-1",
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
Mythos-class transformer — GA configuration
- Fable 5.1 refresh — same Mythos-class backbone with updated post-training
- 500K context with effort tiers low → xhigh
- Published joint system card with Mythos 5.1 (September 2026)
发布日期
2026年8月15日
架构
Mythos-class transformer — GA configuration
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 $0.3 · 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
85 t/s
首Token延迟
350 ms
数据更新
2026年9月2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{llmpodium2026claudefable51,
title = {Benchmark Analysis and Intelligence Evaluation of Claude Fable 5.1},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/claude-fable-5-1}
}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 Fable 5.1 最接近的替代模型。