Head-to-Head Model Comparison

Claude Opus 4.6 vs Claude Sonnet 4.6

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Claude Opus 4.6 vs Claude Sonnet 4.6: Benchmarks, Pricing & Speed Comparison

Claude Opus 4.6 dari Anthropic dan Claude Sonnet 4.6 dari Anthropic adalah dua model AI unggulan. Claude Opus 4.6 menawarkan jendela konteks 1M token dengan harga $5.00/$25.00 per 1 juta token, sedangkan Claude Sonnet 4.6 menyediakan konteks 1M token seharga $3.00/$15.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Anthropic

Claude Opus 4.6

Mesin Penalaran Mendalam

Claude Opus 4.6 dari Anthropic adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 1M, kecepatan 55 token/detik, indeks kecerdasan 65/100, serta tarif $

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

Model Unggulan Garis Depan

Claude Sonnet 4.6 dari Anthropic adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 1M, kecepatan 92 token/detik, indeks kecerdasan 60/100, serta

Intelligence Index60 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

76.1%

Perbedaan Utama Sekilas

  • 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 →
FeatureClaude Opus 4.6Claude Sonnet 4.6
Intelligence Index
Composite reasoning & knowledge score (0-100)
6560
Provider
AnthropicAnthropic
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 text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
128K128K
Throughput Speed
Tokens generated per second
55 tok/s92 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

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

Latensi & Waktu Respons

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

Simulator Biaya Token Interaktif

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

100K / day
10K500K1M
30K / day
5K150K300K
50% 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

  • Jendela konteks 1M dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 78.4% · GPQA Diamond 76.5%)
  • Kecepatan generasi tinggi 55 token/detik dengan latensi token pertama (TTFT) hanya 1900 ms
  • Skema harga API kompetitif (tarif $5/$25 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Claude Sonnet 4.6 · Strengths & Key Advantages

  • Jendela konteks 1M dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 76.1% · GPQA Diamond 74%)
  • Kecepatan generasi tinggi 92 token/detik dengan latensi token pertama (TTFT) hanya 650 ms
  • Skema harga API kompetitif (tarif $3/$15 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Token Use & Task Economics

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

MetricClaude Opus 4.6Claude Sonnet 4.6
Cost per Task
Estimated USD to finish one task
$5.49$3.29
Output Tokens / Task
Tokens generated per task
72K72K
Reasoning Tokens / Task
Thinking tokens burned per task
37K37K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureClaude Opus 4.6Claude Sonnet 4.6
Official API Model ID (SDK)claude-opus-4-6-20260201claude-sonnet-4-6-20260201
API ProtocolAnthropic Messages API + AWS Bedrock + Vertex AIAnthropic Messages API + AWS Bedrock + Vertex AI
Release Date2026-022026-02
Knowledge CutoffDecember 2025December 2025
ArchitectureMegacontext Frontier Reasoning TransformerHigh-Throughput Multimodal Agent Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM4,000 – 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 tokensStandard 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 AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxNative Web Search Citations + Code Execution Tool + MCP ConnectorsNative Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning SupportCustom Model Tuning via Amazon Bedrock & Prompt DistillationCustom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token BillingText 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 VRAMCloud-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 ClassificationAnthropic RSP ASL-2 / ASL-3 Constitutional Safety EvaluatedAnthropic 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 TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, visiontext, vision
Output Modalitiestexttext

Claude Opus 4.6 vs Claude Sonnet 4.6: Jawaban Cepat (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.

Kesimpulan

Baik Claude Opus 4.6 (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude Sonnet 4.6 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Claude Opus 4.6 unggul dalam penalaran dan pemrograman, Claude Sonnet 4.6 memberikan kecepatan generasi token lebih tinggi, dan Claude Sonnet 4.6 lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Claude Opus 4.6 atau Claude Sonnet 4.6?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Claude Opus 4.6 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Claude Opus 4.6 vs Claude Sonnet 4.6?+

Claude Opus 4.6 mengenakan biaya $5.00 / $25.00 per 1M token input/output, sedangkan Claude Sonnet 4.6 sebesar $3.00 / $15.00. Secara keseluruhan, Claude Sonnet 4.6 lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Claude Opus 4.6 mendukung konteks 1M token dibandingkan 1M token pada Claude Sonnet 4.6, sementara Claude Sonnet 4.6 unggul dalam kecepatan output token per detik.

AI Terminology & Guide
Explore Glossary →

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

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Sumber resmi: Dokumentasi API resmi Anthropic & Anthropic serta evaluasi benchmark independen (2026).