Head-to-Head Model Comparison

GPT-4 vs GPT-3

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

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GPT-4Profile

GPT-3Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

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%

OpenAI

GPT-3

Model Generasi Klasik

GPT-3 dari OpenAI adalah model AI yang dirancang untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, menghadirkan jendela konteks 2K, kecepatan 40 token/detik, indeks kecerdasan 22/100, serta tarif $20/$20 per 1M tok

Intelligence Index22 / 100

Input Token:

$20.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

2K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

GPT-3 is 2.0x cheaper for API usage (input + output tokens combined).
GPT-4 has a larger context window (8K vs 2K tokens).
GPT-3 is faster at 40 tok/s vs 35 tok/s.

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

Feature	GPT-4	GPT-3
Intelligence Index Composite reasoning & knowledge score (0-100)	38	22
Provider	OpenAI	OpenAI
Input Price Cost per million input tokens	$30.00 / 1M	$20.00 / 1M
Output Price Cost per million output tokens	$60.00 / 1M	$20.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$17.25 / 1M	$9.50 / 1M
Context Window Maximum input + output tokens	8.2K tokens~12 A4 pages of text	2K tokens~3 A4 pages of text
Max Output Tokens Per single request	4K	2K
Throughput Speed Tokens generated per second	35 tok/s	40 tok/s
SWE-bench Verified Real-world software engineering	21%	N/A
GPQA Diamond Graduate-level reasoning	35.8%	N/A
Cached Input Price Prompt caching discount per 1M tokens	$7.50 / 1M	$5.00 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

GPT-3

2.0x cheaper monthly runtime

Speed

GPT-3

+14% faster generation

Context

GPT-4

8.2K tokens window

Skor Benchmark Terverifikasi

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

GPT-4GPT-3

SWE-bench Verified (Autonomous Coding)

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

21%vsN/A

GPQA Diamond (Doctorate-Level Science & Math)

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

35.8%vsN/A

MMLU-Pro (Multi-task Language Understanding)

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

68.2%vs43.9%

LMSYS Chatbot Arena Elo

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

1210ptsvs980pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

35 tok/s vs40 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

GPT-41.20s

GPT-30.90s

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

GPT-415.49s

GPT-313.40s

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)

GPT-4 Monthly API Bill

$110.25 / month

$30/1M in · $60/1M out

GPT-3 Monthly API Bill

$55.50 / month

$20/1M in · $20/1M out

GPT-3 saves approximately $54.75 / month (50%) under this workload.2.0x Savings

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

GPT-3 · Strengths & Key Advantages

Jendela konteks 2K dengan kapasitas output maksimum hingga 2K token (MMLU-Pro 43.9% · Arena Elo 980)
Kecepatan generasi tinggi 40 token/detik dengan latensi token pertama (TTFT) hanya 900 ms
Skema harga API kompetitif (tarif $20/$20 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	GPT-4	GPT-3
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	GPT-4	GPT-3
Official API Model ID (SDK)	gpt-4	gpt-3
API Protocol	OpenAI Responses API & Chat Completions v1	OpenAI Responses API & Chat Completions v1
Release Date	2023-03	2020-06
Knowledge Cutoff	September 2021	June 2020
Architecture	Mixture-of-Experts (MoE)	Autoregressive Transformer (Davinci)
Parameters	Confidential (est. 1.8T MoE)	175B
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 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)	Flat rate ($30/1M in) across full 8K window	Flat rate ($20/1M in) across full 2K window
Prompt Cache Policy & TTL	Automatic prefix caching at $7.5/1M (no extra cache-write fee)	Automatic prefix caching at $5/1M (no extra cache-write fee)
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	Text-only completion (No GUI action loop)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Prompt-based JSON extraction only
Web Search Grounding & Sandbox	Native Web Search tool + Hosted Code Interpreter & File Search RAG	Native Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning Support	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token Billing	Text BPE (~4 chars/token)	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	OpenAI Preparedness Framework Audited & System Card Published	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	text
Output Modalities	text	text

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

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

GPT-4 is more intelligent. It scores 38 compared with 22 on the composite Intelligence Index.

Which model is faster?

GPT-3 is faster, generating 40 tokens per second compared with 35 tokens per second.

Which model is cheaper to run?

GPT-3 is cheaper at $9.50 per 1M tokens blended, compared with $17.25 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-3 has lower latency, with a time to first token of 0.90s compared with 1.20s.

Which model has a larger context window?

GPT-4 has a larger context window, supporting 8.2K tokens compared with 2K tokens.

Kesimpulan

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

Pertanyaan Umum (FAQ)

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

Dalam indeks kecerdasan gabungan dan benchmark coding, GPT-4 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

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

GPT-4 mengenakan biaya $30.00 / $60.00 per 1M token input/output, sedangkan GPT-3 sebesar $20.00 / $20.00. Secara keseluruhan, GPT-3 lebih hemat biaya.

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

GPT-4 mendukung konteks 8.2K token dibandingkan 2K token pada GPT-3, sementara GPT-3 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)

GPT-4 vs GPT-3

Ganti & Bandingkan Model Apa Saja

GPT-4

GPT-3

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

GPT-4 · Strengths & Key Advantages

Considerations & Trade-offs

GPT-3 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

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

Kesimpulan

Pertanyaan Umum (FAQ)

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