Head-to-Head Model Comparison

Claude 3 Opus vs GPT-4

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

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

Claude 3 OpusProfile

GPT-4Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Anthropic

Claude 3 Opus

Model Generasi Klasik

Claude 3 Opus dari Anthropic adalah model AI yang dirancang untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, menghadirkan jendela konteks 200K, kecepatan 30 token/detik, indeks kecerdasan 44/100, serta tarif $15/$

Intelligence Index44 / 100

Input Token:

$15.00 / 1M

Output Token:

$75.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

32.2%

OpenAI

GPT-4

Model Generasi Klasik

GPT-4 dari OpenAI adalah model AI yang dirancang untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, menghadirkan jendela konteks 8K, kecepatan 35 token/detik, indeks kecerdasan 38/100, serta tarif $30/$60 per 1M tok

Intelligence Index38 / 100

Input Token:

$30.00 / 1M

Output Token:

$60.00 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

21%

Perbedaan Utama Sekilas

Claude 3 Opus is 1.2x cheaper for API usage (input + output tokens combined).
Claude 3 Opus has a larger context window (200K vs 8K tokens).
GPT-4 is faster at 35 tok/s vs 30 tok/s.
Claude 3 Opus leads on SWE-bench coding (32.2% vs 21.0%).

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

Feature	Claude 3 Opus	GPT-4
Intelligence Index Composite reasoning & knowledge score (0-100)	44	38
Provider	Anthropic	OpenAI
Input Price Cost per million input tokens	$15.00 / 1M	$30.00 / 1M
Output Price Cost per million output tokens	$75.00 / 1M	$60.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$11.55 / 1M	$17.25 / 1M
Context Window Maximum input + output tokens	200K tokens~300 A4 pages of text	8.2K tokens~12 A4 pages of text
Max Output Tokens Per single request	4K	4K
Throughput Speed Tokens generated per second	30 tok/s	35 tok/s
SWE-bench Verified Real-world software engineering	32.2%	21%
GPQA Diamond Graduate-level reasoning	50.4%	35.8%
Cached Input Price Prompt caching discount per 1M tokens	$1.50 / 1M	$7.50 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Claude 3 Opus

+11.2% SWE-bench lead

Cost

Claude 3 Opus

1.2x cheaper monthly runtime

Speed

GPT-4

+17% faster generation

Context

Claude 3 Opus

200K tokens window

Skor Benchmark Terverifikasi

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

Claude 3 OpusGPT-4

SWE-bench Verified (Autonomous Coding)

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

32.2%vs21%

GPQA Diamond (Doctorate-Level Science & Math)

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

50.4%vs35.8%

MMLU-Pro (Multi-task Language Understanding)

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

74%vs68.2%

LMSYS Chatbot Arena Elo

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

1262ptsvs1210pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

30 tok/s vs35 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 3 Opus1.20s

GPT-41.20s

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

Claude 3 Opus17.87s

GPT-415.49s

Simulator Biaya Token Interaktif

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 3 Opus Monthly API Bill

$92.25 / month

$15/1M in · $75/1M out

GPT-4 Monthly API Bill

$110.25 / month

$30/1M in · $60/1M out

Claude 3 Opus saves approximately $18.00 / month (16%) under this workload.1.2x Savings

Claude 3 Opus · Strengths & Key Advantages

Jendela konteks 200K dengan kapasitas output maksimum hingga 4K token (SWE-bench Verified 32.2% · GPQA Diamond 50.4%)
Kecepatan generasi tinggi 30 token/detik dengan latensi token pertama (TTFT) hanya 1200 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

GPT-4 · Strengths & Key Advantages

Jendela konteks 8K dengan kapasitas output maksimum hingga 4K token (SWE-bench Verified 21% · GPQA Diamond 35.8%)
Kecepatan generasi tinggi 35 token/detik dengan latensi token pertama (TTFT) hanya 1200 ms
Skema harga API kompetitif (tarif $30/$60 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.

Metric	Claude 3 Opus	GPT-4
Cost per Task Estimated USD to finish one task	$0.20	$0.20
Output Tokens / Task Tokens generated per task	24K	24K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Claude 3 Opus	GPT-4
Official API Model ID (SDK)	claude-3-opus-20240301	gpt-4
API Protocol	Anthropic Messages API + AWS Bedrock + Vertex AI	OpenAI Responses API & Chat Completions v1
Release Date	2024-03	2023-03
Knowledge Cutoff	August 2023	September 2021
Architecture	Frontier Dense Multimodal Transformer	Mixture-of-Experts (MoE)
Parameters	Confidential	Confidential (est. 1.8T MoE)
Enterprise Rate Limits (RPM / TPM)	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 TPM	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens	Flat rate ($30/1M in) across full 8K window
Prompt Cache Policy & TTL	$1.5/1M cached read (90% off); 5-min default & 1-hour extended TTL	Automatic prefix caching at $7.5/1M (no extra cache-write fee)
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
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 tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning Support	Custom Model Tuning via Amazon Bedrock & Prompt Distillation	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token)
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	OpenAI Preparedness Framework Audited & System Card Published
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
Output Modalities	text	text

Claude 3 Opus vs GPT-4: Jawaban Cepat (FAQ)

Which is more intelligent, Claude 3 Opus or GPT-4?

Claude 3 Opus is more intelligent. It scores 44 compared with 38 on the composite Intelligence Index.

Which model is faster?

GPT-4 is faster, generating 35 tokens per second compared with 30 tokens per second.

Which model is cheaper to run?

Claude 3 Opus is cheaper at $11.55 per 1M tokens blended, compared with $17.25 (7:2:1 cache:input:output ratio).

Which model has a larger context window?

Claude 3 Opus has a larger context window, supporting 200K tokens compared with 8.2K tokens.

Kesimpulan

Baik Claude 3 Opus (Sangat cocok untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun GPT-4 (Sangat cocok untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Claude 3 Opus unggul dalam penalaran dan pemrograman, GPT-4 memberikan kecepatan generasi token lebih tinggi, dan Claude 3 Opus lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Claude 3 Opus atau GPT-4?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Claude 3 Opus memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Claude 3 Opus vs GPT-4?+

Claude 3 Opus mengenakan biaya $15.00 / $75.00 per 1M token input/output, sedangkan GPT-4 sebesar $30.00 / $60.00. Secara keseluruhan, Claude 3 Opus lebih hemat biaya.

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

Claude 3 Opus mendukung konteks 200K token dibandingkan 8.2K token pada GPT-4, sementara GPT-4 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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Claude 3 Opus vs GPT-4

Ganti & Bandingkan Model Apa Saja

Claude 3 Opus

GPT-4

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Claude 3 Opus · Strengths & Key Advantages

Considerations & Trade-offs

GPT-4 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Claude 3 Opus vs GPT-4: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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