Head-to-Head Model Comparison

GPT-4 vs GPT-3

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial

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GPT-4Profile

GPT-3Profile

Multi-Model Arena Stack:

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Popular Matchups:

OpenAI

GPT-4

Modelo de Geração Clássica

O GPT-4 da OpenAI é um modelo de IA projetado para assistentes conversacionais, síntese de textos e tarefas corporativas, oferecendo janela de contexto de 8K, velocidade de 35 tokens/s, índice de inteligência de 38/100 e tarifa de $30/$60 p

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

Modelo de Geração Clássica

O GPT-3 da OpenAI é um modelo de IA projetado para assistentes conversacionais, síntese de textos e tarefas corporativas, oferecendo janela de contexto de 2K, velocidade de 40 tokens/s, índice de inteligência de 22/100 e tarifa de $20/$20 p

Intelligence Index22 / 100

Input Token:

$20.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

2K tokens

SWE-bench Verified:

N/A

Principais Diferenças em Resumo

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

Quem vence em cada categoria?

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

Pontuações de Benchmarks Verificadas

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

Latência e Tempo de Resposta

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

Simulador Interativo de Custo de Tokens

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

Janela de contexto de 8K com limite máximo de saída de 4K tokens (SWE-bench Verified 21% · GPQA Diamond 35.8%)
Taxa de transferência rápida de 35 tokens/segundo com latência inicial (TTFT) de 1200 ms
Economia de API competitiva ($30/$60 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas

Considerations & Trade-offs

Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos

GPT-3 · Strengths & Key Advantages

Janela de contexto de 2K com limite máximo de saída de 2K tokens (MMLU-Pro 43.9% · Arena Elo 980)
Taxa de transferência rápida de 40 tokens/segundo com latência inicial (TTFT) de 900 ms
Economia de API competitiva ($20/$20 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas

Considerations & Trade-offs

Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos

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

Especificações Técnicas

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: Respostas Rápidas (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.

Veredito

Tanto GPT-4 (Indicado para assistentes conversacionais, síntese de textos e tarefas corporativas, arquiteturas RAG corporativas e integração escalável via API.) quanto GPT-3 (Indicado para assistentes conversacionais, síntese de textos e tarefas corporativas, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: GPT-4 lidera em inteligência geral e programação, GPT-3 oferece geração mais rápida e GPT-3 apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, GPT-4 ou GPT-3?+

Nas avaliações de inteligência e código, GPT-4 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, GPT-4 ou GPT-3?+

O GPT-4 custa $30.00 / $60.00 por 1M de tokens (entrada/saída) e o GPT-3 custa $20.00 / $20.00. No custo combinado, GPT-3 é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O GPT-4 suporta 8.2K tokens de contexto contra 2K tokens do GPT-3, enquanto GPT-3 entrega maior velocidade de geração.

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

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GPT-4

GPT-3

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo de Tokens

GPT-4 · Strengths & Key Advantages

Considerations & Trade-offs

GPT-3 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificações Técnicas

GPT-4 vs GPT-3: Respostas Rápidas (FAQ)

Veredito

Perguntas Frequentes (FAQ)

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