Anthropic
Claude Fable 5.1
Frontier coding and agentic model by Anthropic with state-of-the-art SWE-Bench Verified performance.
Inteligensi
88.4 #26
Tingkat 3% teratas
Kecepatan output
85 t/s
TTFT 350 ms · ITL 11.8 ms/tok
Harga gabungan (3:1)
$6 /1M
Input $3/M · Output $15/M
Konteks
500K
≈ 1,250 halaman A4 · output maks 32,768
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Claude Fable 5.1
Claude Mythos Preview (#1)
Average (68)
Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.
Kelebihan & Trade-off
Di mana ia menang
- 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
Hal yang perlu diperhatikan
- $10/$50 premium-tier pricing
- Some cybersecurity queries are down-routed to Opus 4.8
- Closed weights — API only
Kasus Penggunaan Killer
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.
Quickstart Developer & API
Atur
ANTHROPIC_API_KEY dulu — dapatkan kunci APIcurl 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);Sumber Daya & Tautan Resmi
Deployment API
Bandingkan host & latensi
Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Skor per sumber
Skor per kategori
Hasil benchmark
Spesifikasi Live & Arsitektur
Di balik kap
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)
Tanggal rilis
15 Agu 2026
Arsitektur
Mythos-class transformer — GA configuration
Parameter
Not disclosed
Lisensi
Proprietary
Jendela konteks
500,000 tokens
Output maks
32,768 tokens
Modalitas
text + image
Harga cache
baca $0.3 · tulis $3.75 /1M
Penalaran
Level effort
Harga input
$3/M
Harga output
$15/M
Kecepatan output
85 t/s
Waktu ke token pertama
350 ms
Data diperbarui
2 Sep 2026
Estimasi tagihan bulanan
Estimasi pengeluaran bulanan
$0.00
Menghitung penghematan vs GPT-4o…
Kutip & sematkan
Badge Markdown GitHub
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}
}Sematkan Lencana Skor
Tambahkan lencana Podium Score langsung ke README GitHub atau Hugging Face Anda — menautkan ke peringkat langsung.
Pratinjau
Markdown
Loading badge snippet...HTML
Loading badge snippet...Lainnya dari Anthropic
Model Alternatif
Alternatif terdekat untuk Claude Fable 5.1 berdasarkan kemampuan, harga, dan skor benchmark.