Claude 5.5 Sonnet
Anthropic next-generation frontier model featuring autonomous SWE capabilities, high-reliability tool loops, and industry-leading coding benchmarks.
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Radar-Achsen sind aus Kategorie-Scores approximiert, wo direkte Benchmark-Messungen fehlen — siehe Methodik.
Stärken & Trade-offs
Wo das Modell gewinnt
- 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
Worauf achten
- Proprietary — no self-hosting or fine-tuning
- High-effort runs get expensive on long sessions
- Vision understanding trails Gemini's native multimodality
Killer-Anwendungsfälle
Developer-Quickstart & API
ANTHROPIC_API_KEY — API-Schlüssel holencurl 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);Offizielle Ressourcen & Links
Hosts & Latenz vergleichen
Durchsatz, TTFT und Cache-Preise bei Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock und Azure.
Ergebnisse nach Quelle
Kategorie-Punkte
Benchmark-Ergebnisse
Direkte Live-Duelle
Live-Spezifikationen & Architektur
- 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
Geschätzte Monatsrechnung
Zitieren & Einbetten
Loading badge markdown...@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}
}Score-Badge einbetten
Fügen Sie Ihrem GitHub- oder Hugging-Face-README ein Live-Podium-Score-Badge hinzu — es verlinkt auf das Live-Ranking.
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