Head-to-Head Model Comparison

Claude Opus 4.6 vs Claude Sonnet 4.6

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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Claude Opus 4.6Profile

Claude Sonnet 4.6Profile

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Anthropic

Claude Opus 4.6

Deep-Reasoning-Engine

Claude Opus 4.6 von Anthropic ist ein KI-Modell für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen mit 1M Kontextfenster, 55 Token/s Durchsatz, einem Intelligenz-Index von 65/100 und $5/$25 pro 1M Token.

Intelligence Index65 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

78.4%

Anthropic

Claude Sonnet 4.6

Frontier-Flaggschiff-Modell

Claude Sonnet 4.6 von Anthropic ist ein KI-Modell für anspruchsvolles Enterprise-Reasoning, Softwareentwicklung und produktive KI-Workflows mit 1M Kontextfenster, 92 Token/s Durchsatz, einem Intelligenz-Index von 60/100 und $3/$15 pro 1M To

Intelligence Index60 / 100

Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

76.1%

Wichtigste Unterschiede auf einen Blick

Claude Sonnet 4.6 is 1.7x cheaper for API usage (input + output tokens combined).
Claude Sonnet 4.6 is faster at 92 tok/s vs 55 tok/s.
Claude Opus 4.6 leads on SWE-bench coding (78.4% vs 76.1%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Claude Opus 4.6	Claude Sonnet 4.6
Intelligence Index Composite reasoning & knowledge score (0-100)	65	60
Provider	Anthropic	Anthropic
Input Price Cost per million input tokens	$5.00 / 1M	$3.00 / 1M
Output Price Cost per million output tokens	$25.00 / 1M	$15.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$3.85 / 1M	$2.31 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	128K	128K
Throughput Speed Tokens generated per second	55 tok/s	92 tok/s
SWE-bench Verified Real-world software engineering	78.4%	76.1%
GPQA Diamond Graduate-level reasoning	76.5%	74%
Cached Input Price Prompt caching discount per 1M tokens	$0.50 / 1M	$0.30 / 1M

Wer gewinnt in welcher Disziplin?

At-a-glance decision framework

Coding

Claude Opus 4.6

+2.3% SWE-bench lead

Cost

Claude Sonnet 4.6

1.7x cheaper monthly runtime

Speed

Claude Sonnet 4.6

+67% faster generation

Context

Tied

1M tokens window

Geprüfte Benchmark-Ergebnisse im Vergleich

Official evaluation metrics verified by independent third-party research labs.

Claude Opus 4.6Claude Sonnet 4.6

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

78.4%vs76.1%

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

76.5%vs74%

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

88.2%vs86.7%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1395ptsvs1380pts

Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

51.4%vs47.8%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

55 tok/s vs92 tok/s

Latenz & Antwortzeit

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Claude Opus 4.61.90s

Claude Sonnet 4.60.65s

Est. End-to-End Response (500 tokens)TTFT + generation time

Claude Opus 4.610.99s

Claude Sonnet 4.66.08s

Interaktiver Token-Kosten-Simulator

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Claude Opus 4.6 Monthly API Bill

$30.75 / month

$5/1M in · $25/1M out

Claude Sonnet 4.6 Monthly API Bill

$18.45 / month

$3/1M in · $15/1M out

Claude Sonnet 4.6 saves approximately $12.30 / month (40%) under this workload.1.7x Savings

Claude Opus 4.6 · Strengths & Key Advantages

1M Kontextfenster und bis zu 128K maximale Output-Token (SWE-bench Verified 78.4% · GPQA Diamond 76.5%)
Hohe Generierungsgeschwindigkeit von 55 Token/Sekunde bei nur 1900 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($5/$25 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei hohem Anfragevolumen empfiehlt sich der Einsatz von Prompt-Caching und Batch-API zur Kostenoptimierung

Claude Sonnet 4.6 · Strengths & Key Advantages

1M Kontextfenster und bis zu 128K maximale Output-Token (SWE-bench Verified 76.1% · GPQA Diamond 74%)
Hohe Generierungsgeschwindigkeit von 92 Token/Sekunde bei nur 650 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($3/$15 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei hohem Anfragevolumen empfiehlt sich der Einsatz von Prompt-Caching und Batch-API zur Kostenoptimierung

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Claude Opus 4.6	Claude Sonnet 4.6
Cost per Task Estimated USD to finish one task	$5.49	$3.29
Output Tokens / Task Tokens generated per task	72K	72K
Reasoning Tokens / Task Thinking tokens burned per task	37K	37K

Technische Spezifikationen

Architecture, release timeline, capabilities, and modalities.

Claude Opus 4.6 vs Claude Sonnet 4.6: Schnelle Antworten (FAQ)

Which is more intelligent, Claude Opus 4.6 or Claude Sonnet 4.6?

Claude Opus 4.6 is more intelligent. It scores 65 compared with 60 on the composite Intelligence Index.

Which model is faster?

Claude Sonnet 4.6 is faster, generating 92 tokens per second compared with 55 tokens per second.

Which model is cheaper to run?

Claude Sonnet 4.6 is cheaper at $2.31 per 1M tokens blended, compared with $3.85 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude Sonnet 4.6 has lower latency, with a time to first token of 0.65s compared with 1.90s.

Fazit

Sowohl Claude Opus 4.6 (Optimal für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Claude Sonnet 4.6 (Optimal für anspruchsvolles Enterprise-Reasoning, Softwareentwicklung und produktive KI-Workflows, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Claude Opus 4.6 führt bei komplexem Reasoning und Coding, Claude Sonnet 4.6 liefert den höheren Token-Durchsatz und Claude Sonnet 4.6 ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Claude Opus 4.6 oder Claude Sonnet 4.6?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Claude Opus 4.6 vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Claude Opus 4.6 und Claude Sonnet 4.6?+

Claude Opus 4.6 kostet $5.00 / $25.00 pro 1M Input-/Output-Tokens, Claude Sonnet 4.6 liegt bei $3.00 / $15.00. Beim gewichteten Gesamtpreis ist Claude Sonnet 4.6 günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Claude Opus 4.6 bietet 1M Tokens Kontext gegenüber 1M Tokens bei Claude Sonnet 4.6. Bei der Generierungsgeschwindigkeit liegt Claude Sonnet 4.6 vorn.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Feature	Claude Opus 4.6	Claude Sonnet 4.6
Official API Model ID (SDK)	claude-opus-4-6-20260201	claude-sonnet-4-6-20260201
API Protocol	Anthropic Messages API + AWS Bedrock + Vertex AI	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2026-02	2026-02
Knowledge Cutoff	December 2025	December 2025
Architecture	Megacontext Frontier Reasoning Transformer	High-Throughput Multimodal Agent Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	$0.5/1M cached read (90% off); 5-min default & 1-hour extended TTL	$0.3/1M cached read (90% off); 5-min default & 1-hour extended TTL
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Native Web Search Citations + Code Execution Tool + MCP Connectors	Native Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	Custom Model Tuning via Amazon Bedrock & Prompt Distillation	Custom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAM	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated	Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text, vision	text, vision
Output Modalities	text	text

Claude Opus 4.6 vs Claude Sonnet 4.6

Beliebige Modelle wechseln & vergleichen

Claude Opus 4.6

Claude Sonnet 4.6

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

Claude Opus 4.6 · Strengths & Key Advantages

Considerations & Trade-offs

Claude Sonnet 4.6 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

Claude Opus 4.6 vs Claude Sonnet 4.6: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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