Claude Fable 5.1
Frontier coding and agentic model by Anthropic with state-of-the-art SWE-Bench Verified performance.
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Les axes du radar sont approximés depuis les scores par catégorie lorsque les mesures directes manquent — voir Méthodologie.
Points forts & compromis
Là où il gagne
- 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
Points de vigilance
- $10/$50 premium-tier pricing
- Some cybersecurity queries are down-routed to Opus 4.8
- Closed weights — API only
Cas d'usage clés
Démarrage rapide développeur & API
ANTHROPIC_API_KEY — obtenir une clé 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);Ressources & liens officiels
Comparer hôtes et latence
Débit, TTFT et tarifs de cache chez Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock et Azure.
Scores par Source
Scores par Catégorie
Résultats de Benchmarks
Specs en direct & architecture
- 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)
Facture mensuelle estimée
Citer et intégrer
Loading badge markdown...@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}
}Intégrer le badge de score
Ajoutez un badge Podium Score en direct à votre README GitHub ou Hugging Face — il renvoie vers le classement en direct.
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