Anthropic
Claude 5.5 Sonnet
Anthropic next-generation frontier model featuring autonomous SWE capabilities, high-reliability tool loops, and industry-leading coding benchmarks.
Intelligenza
94.8 #2
AAQI 95.0
Velocità Uscita
94 t/s
ITL 10.6 ms/tok
Prezzo combinato (3:1)
$6 /1M
Input $3/M · Output $15/M
Contesto
1M
≈ 2,500 pagine A4 · output max 65,536
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Claude 5.5 Sonnet
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
- Best-in-class agentic coding — top of the SWE-bench Verified tier
- Preferred for long Claude Code sessions; consolidates shared logic instead of duplicating
- 1M context + 65K max output window
- Strong price-to-capability versus Opus-class models
A cosa fare attenzione
- Proprietary — no self-hosting or fine-tuning
- High-effort runs get expensive on long sessions
- Vision understanding trails Gemini's native multimodality
Casi d'uso killer
Claude Code refactors
Multi-file issue-to-PR work — the model most developers pick for day-long sessions.
SWE-bench agents
Top-tier verified software-engineering agent loops with tool use.
Terminal agents
Shell planning, CI debugging and deployment automation.
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-sonnet-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-sonnet-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-sonnet-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);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
Scontri diretti live
Specifiche live e architettura
Sotto il cofano
Sonnet 5.5 — undisclosed transformer
- Extended thinking with adjustable effort levels (low → xhigh)
- Context compaction keeps long agent sessions coherent without dropping state
- 1M-token context with prompt caching for repo-scale prompts
Data di Rilascio
12 ott 2026
Architettura
Sonnet 5.5 — undisclosed transformer
Parametri
Not disclosed
Licenza
Proprietary
Finestra di Contesto
1,000,000 tokens
Output max
65,536 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
94 t/s
Tempo al Primo Token
—
Dati aggiornati
14 ott 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{llmpodium2026claudesonnet55,
title = {Benchmark Analysis and Intelligence Evaluation of Claude 5.5 Sonnet},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/claude-sonnet-5-5}
}Incorpora il badge del punteggio
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