Anthropic
Claude Fable 5.1
Frontier coding and agentic model by Anthropic with state-of-the-art SWE-Bench Verified performance.
Intelligenza
88.4 #26
Fascia top 3%
Velocità Uscita
85 t/s
TTFT 350 ms · ITL 11.8 ms/tok
Prezzo combinato (3:1)
$6 /1M
Input $3/M · Output $15/M
Contesto
500K
≈ 1,250 pagine A4 · output max 32,768
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Claude Fable 5.1
Claude Mythos Preview (#1)
Average (68)
Gli assi radar sono approssimati dai punteggi di categoria dove mancano misurazioni dirette — vedi Metodologia.
Punti di forza e compromessi
Dove vince
- 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
A cosa fare attenzione
- $10/$50 premium-tier pricing
- Some cybersecurity queries are down-routed to Opus 4.8
- Closed weights — API only
Casi d'uso 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 per sviluppatori e API
Imposta prima
ANTHROPIC_API_KEY — ottieni una chiave 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);Risorse e link ufficiali
Deployment API
Confronta host e latenza
Throughput, TTFT e prezzi cache su Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock e Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Punteggi per Fonte
Punteggi per Categoria
Risultati dei Benchmark
Specifiche live e architettura
Sotto il cofano
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)
Data di Rilascio
15 ago 2026
Architettura
Mythos-class transformer — GA configuration
Parametri
Not disclosed
Licenza
Proprietary
Finestra di Contesto
500,000 tokens
Output max
32,768 tokens
Modalità
text + image
Prezzi cache
lettura $0.3 · scrittura $3.75 /1M
Ragionamento
Livelli di sforzo
Prezzo Ingresso
$3/M
Prezzo Uscita
$15/M
Velocità Uscita
85 t/s
Tempo al Primo Token
350 ms
Dati aggiornati
2 set 2026
Stima bolletta mensile
Spesa mensile stimata
$0.00
Calcolo risparmio vs GPT-4o…
Cita e incorpora
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}
}Incorpora il badge del punteggio
Aggiungi un badge Podium Score live al tuo README su GitHub o Hugging Face — rimanda alla classifica live.
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Modelli alternativi
Migliori alternative a Claude Fable 5.1 in base a capacità, prezzi e benchmark.