GetInfoUs
Head-to-Head Model Comparison

Claude Opus 4.1 vs Claude Opus 4

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
Bagikan
Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Claude Opus 4.1 vs Claude Opus 4: Benchmarks, Pricing & Speed Comparison

Claude Opus 4.1 dari Anthropic dan Claude Opus 4 dari Anthropic adalah dua model AI unggulan. Claude Opus 4.1 menawarkan jendela konteks 200K token dengan harga $15.00/$75.00 per 1 juta token, sedangkan Claude Opus 4 menyediakan konteks 200K token seharga $15.00/$75.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

Ganti & Bandingkan Model Apa Saja

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Profile
Profile
Multi-Model Arena Stack:
5-Model Matrix Workbench
Popular Matchups:
Anthropic

Claude Opus 4.1

Model Agen Otonom & Alat

Claude Opus 4.1 dari Anthropic adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 200K, kecepatan 46 token/detik, indeks kecerdasan 62/10

Intelligence Index62 / 100
Input Token:

$15.00 / 1M

Output Token:

$75.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

74.5%

Anthropic

Claude Opus 4

Mesin Penalaran Mendalam

Claude Opus 4 dari Anthropic adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 200K, kecepatan 42 token/detik, indeks kecerdasan 61/100, serta tarif $

Intelligence Index61 / 100
Input Token:

$15.00 / 1M

Output Token:

$75.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

72.5%

Perbedaan Utama Sekilas

  • Both models cost the same under this workload — choose on capability, not price.
  • Claude Opus 4.1 is faster at 46 tok/s vs 42 tok/s.
  • Claude Opus 4.1 leads on SWE-bench coding (74.5% vs 72.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureClaude Opus 4.1Claude Opus 4
Intelligence Index
Composite reasoning & knowledge score (0-100)
6261
Provider
AnthropicAnthropic
Input Price
Cost per million input tokens
$15.00 / 1M$15.00 / 1M
Output Price
Cost per million output tokens
$75.00 / 1M$75.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$11.55 / 1M$11.55 / 1M
Context Window
Maximum input + output tokens
200K tokens~300 A4 pages of text200K tokens~300 A4 pages of text
Max Output Tokens
Per single request
32K32K
Throughput Speed
Tokens generated per second
46 tok/s42 tok/s
SWE-bench Verified
Real-world software engineering
74.5%72.5%
GPQA Diamond
Graduate-level reasoning
74.4%73.8%
Cached Input Price
Prompt caching discount per 1M tokens
$1.50 / 1M$1.50 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding
Claude Opus 4.1
+2.0% SWE-bench lead
Cost
Tied
Identical monthly runtime cost
Speed
Claude Opus 4.1
+10% faster generation
Context
Tied
200K tokens window

Skor Benchmark Terverifikasi

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

Claude Opus 4.1Claude Opus 4
SWE-bench Verified (Autonomous Coding)

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

74.5%vs72.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

74.4%vs73.8%
MMLU-Pro (Multi-task Language Understanding)

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

86.8%vs86.1%
LMSYS Chatbot Arena Elo

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

1372ptsvs1368pts
Terminal-Bench (Agentic Coding & Terminal Use)

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

45%vs43.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

46 tok/s vs42 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 4.11.70s
Claude Opus 41.80s
Est. End-to-End Response (500 tokens)TTFT + generation time
Claude Opus 4.112.57s
Claude Opus 413.70s

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 4.1 Monthly API Bill
$92.25 / month
$15/1M in · $75/1M out
Claude Opus 4 Monthly API Bill
$92.25 / month
$15/1M in · $75/1M out
These models cost the same under this workload — no savings either way.Break-even

Claude Opus 4.1 · Strengths & Key Advantages

  • Jendela konteks 200K dengan kapasitas output maksimum hingga 32K token (SWE-bench Verified 74.5% · GPQA Diamond 74.4%)
  • Kecepatan generasi tinggi 46 token/detik dengan latensi token pertama (TTFT) hanya 1700 ms
  • Skema harga API kompetitif (tarif $15/$75 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 Opus 4 · Strengths & Key Advantages

  • Jendela konteks 200K dengan kapasitas output maksimum hingga 32K token (SWE-bench Verified 72.5% · GPQA Diamond 73.8%)
  • Kecepatan generasi tinggi 42 token/detik dengan latensi token pertama (TTFT) hanya 1800 ms
  • Skema harga API kompetitif (tarif $15/$75 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 4.1Claude Opus 4
Cost per Task
Estimated USD to finish one task
$16.46$16.46
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 4.1Claude Opus 4
Official API Model ID (SDK)claude-opus-4-1-20250801claude-opus-4-20250501
API ProtocolAnthropic Messages API + AWS Bedrock + Vertex AIAnthropic Messages API + AWS Bedrock + Vertex AI
Release Date2025-082025-05
Knowledge CutoffMarch 2025March 2025
ArchitectureRefined Frontier Reasoning TransformerDense Frontier Reasoning Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 TPM4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 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$1.5/1M cached read (90% off); 5-min default & 1-hour extended TTL$1.5/1M 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 4.1 vs Claude Opus 4: Jawaban Cepat (FAQ)

Which is more intelligent, Claude Opus 4.1 or Claude Opus 4?

Claude Opus 4.1 is more intelligent. It scores 62 compared with 61 on the composite Intelligence Index.

Which model is faster?

Claude Opus 4.1 is faster, generating 46 tokens per second compared with 42 tokens per second.

Which model has lower latency?

Claude Opus 4.1 has lower latency, with a time to first token of 1.70s compared with 1.80s.

Kesimpulan

Baik Claude Opus 4.1 (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude Opus 4 (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Claude Opus 4.1 unggul dalam penalaran dan pemrograman, Claude Opus 4.1 memberikan kecepatan generasi token lebih tinggi, dan Claude Opus 4.1 lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Claude Opus 4.1 atau Claude Opus 4?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Claude Opus 4.1 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Claude Opus 4.1 vs Claude Opus 4?+

Claude Opus 4.1 mengenakan biaya $15.00 / $75.00 per 1M token input/output, sedangkan Claude Opus 4 sebesar $15.00 / $75.00. Secara keseluruhan, Claude Opus 4.1 lebih hemat biaya.

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

Claude Opus 4.1 mendukung konteks 200K token dibandingkan 200K token pada Claude Opus 4, sementara Claude Opus 4.1 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.

Tokens & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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).