Head-to-Head Model Comparison

GPT-5.5 Instant vs GPT-5.5 Pro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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

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GPT-5.5 InstantProfile

GPT-5.5 ProProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

OpenAI

GPT-5.5 Instant

Modelo Leve e Econômico

O GPT-5.5 Instant da OpenAI é um modelo de IA projetado para máxima economia por token e alto desempenho em escala de produção, oferecendo janela de contexto de 400K, velocidade de 168 tokens/s, índice de inteligência de 65/100 e tarifa de

Intelligence Index65 / 100

Input Token:

$0.75 / 1M

Output Token:

$6.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

74.5%

OpenAI

GPT-5.5 Pro

Modelo Principal de Fronteira

O GPT-5.5 Pro da OpenAI é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 1.1M, velocidade de 42 tokens/s, índice de inteligência de 87/100 e ta

Intelligence Index87 / 100

Input Token:

$50.00 / 1M

Output Token:

$300.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

82.6%

Principais Diferenças em Resumo

GPT-5.5 Instant is 53.1x cheaper for API usage (input + output tokens combined).
GPT-5.5 Pro has a larger context window (1M vs 400K tokens).
GPT-5.5 Instant is faster at 168 tok/s vs 42 tok/s.
GPT-5.5 Pro leads on SWE-bench coding (82.6% vs 74.5%).

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

Feature	GPT-5.5 Instant	GPT-5.5 Pro
Intelligence Index Composite reasoning & knowledge score (0-100)	65	87
Provider	OpenAI	OpenAI
Input Price Cost per million input tokens	$0.75 / 1M	$50.00 / 1M
Output Price Cost per million output tokens	$6.00 / 1M	$300.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.80 / 1M	$43.50 / 1M
Context Window Maximum input + output tokens	400K tokens~600 A4 pages of text	1.05M tokens~1,575 A4 pages of text
Max Output Tokens Per single request	128K	128K
Throughput Speed Tokens generated per second	168 tok/s	42 tok/s
SWE-bench Verified Real-world software engineering	74.5%	82.6%
GPQA Diamond Graduate-level reasoning	75%	81.2%
Cached Input Price Prompt caching discount per 1M tokens	$0.07 / 1M	$5.00 / 1M

Quem vence em cada categoria?

At-a-glance decision framework

Coding

GPT-5.5 Pro

+8.1% SWE-bench lead

Cost

GPT-5.5 Instant

53.1x cheaper monthly runtime

Speed

GPT-5.5 Instant

+300% faster generation

Context

GPT-5.5 Pro

1.05M tokens window

Pontuações de Benchmarks Verificadas

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

GPT-5.5 InstantGPT-5.5 Pro

SWE-bench Verified (Autonomous Coding)

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

74.5%vs82.6%

GPQA Diamond (Doctorate-Level Science & Math)

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

75%vs81.2%

MMLU-Pro (Multi-task Language Understanding)

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

87.2%vs90.2%

LMSYS Chatbot Arena Elo

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

1396ptsvs1478pts

Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

13.6%vs16.9%

Terminal-Bench (Agentic Coding & Terminal Use)

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

49%vs59.5%

SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

45.5%vs53.5%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

73.5%vs79.6%

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

92.4%vs95.4%

Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

81.5%vs88.4%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

168 tok/s vs42 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-5.5 Instant0.78s

GPT-5.5 Pro4.80s

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

GPT-5.5 Instant3.76s

GPT-5.5 Pro16.70s

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-5.5 Instant Monthly API Bill

$6.64 / month

$0.75/1M in · $6/1M out

GPT-5.5 Pro Monthly API Bill

$352.50 / month

$50/1M in · $300/1M out

GPT-5.5 Instant saves approximately $345.86 / month (98%) under this workload.53.1x Savings

GPT-5.5 Instant · Strengths & Key Advantages

Janela de contexto de 400K com limite máximo de saída de 128K tokens (SWE-bench Verified 74.5% · GPQA Diamond 75%)
Taxa de transferência rápida de 168 tokens/segundo com latência inicial (TTFT) de 780 ms
Economia de API competitiva ($0.75/$6 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
Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

GPT-5.5 Pro · Strengths & Key Advantages

Janela de contexto de 1.1M com limite máximo de saída de 128K tokens (SWE-bench Verified 82.6% · GPQA Diamond 81.2%)
Taxa de transferência rápida de 42 tokens/segundo com latência inicial (TTFT) de 4800 ms
Economia de API competitiva ($50/$300 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-5.5 Instant	GPT-5.5 Pro
Cost per Task Estimated USD to finish one task	$0.95	$66.50
Output Tokens / Task Tokens generated per task	52K	78K
Reasoning Tokens / Task Thinking tokens burned per task	26K	52K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-5.5 Instant	GPT-5.5 Pro
Official API Model ID (SDK)	gpt-5-5-instant	gpt-5-5-pro
API Protocol	OpenAI Responses API & Chat Completions v1	OpenAI Responses API & Chat Completions v1
Release Date	2026-05	2026-04
Knowledge Cutoff	December 2025	December 2025
Architecture	Low-latency compact reasoning model	Maximum-accuracy unified reasoning model
Parameters	Confidential	Confidential
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) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.75/1M in) across full 400K window	Flat rate ($50/1M in) across full 1050K window
Prompt Cache Policy & TTL	Automatic prefix caching at $0.075/1M (no extra cache-write fee)	Automatic prefix caching at $5/1M (no extra cache-write fee)
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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 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) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
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, vision	text, vision
Output Modalities	text	text

GPT-5.5 Instant vs GPT-5.5 Pro: Respostas Rápidas (FAQ)

Which is more intelligent, GPT-5.5 Instant or GPT-5.5 Pro?

GPT-5.5 Pro is more intelligent. It scores 87 compared with 65 on the composite Intelligence Index.

Which model is faster?

GPT-5.5 Instant is faster, generating 168 tokens per second compared with 42 tokens per second.

Which model is cheaper to run?

GPT-5.5 Instant is cheaper at $0.80 per 1M tokens blended, compared with $43.50 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-5.5 Instant has lower latency, with a time to first token of 0.78s compared with 4.80s.

Which model has a larger context window?

GPT-5.5 Pro has a larger context window, supporting 1.05M tokens compared with 400K tokens.

Veredito

Tanto GPT-5.5 Instant (Indicado para máxima economia por token e alto desempenho em escala de produção, arquiteturas RAG corporativas e integração escalável via API.) quanto GPT-5.5 Pro (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: GPT-5.5 Pro lidera em inteligência geral e programação, GPT-5.5 Instant oferece geração mais rápida e GPT-5.5 Instant apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, GPT-5.5 Instant ou GPT-5.5 Pro?+

Nas avaliações de inteligência e código, GPT-5.5 Pro leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, GPT-5.5 Instant ou GPT-5.5 Pro?+

O GPT-5.5 Instant custa $0.75 / $6.00 por 1M de tokens (entrada/saída) e o GPT-5.5 Pro custa $50.00 / $300.00. No custo combinado, GPT-5.5 Instant é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O GPT-5.5 Instant suporta 400K tokens de contexto contra 1.05M tokens do GPT-5.5 Pro, enquanto GPT-5.5 Instant 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-5.5 Instant vs GPT-5.5 Pro

Troque e Compare Qualquer Modelo

GPT-5.5 Instant

GPT-5.5 Pro

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo de Tokens

GPT-5.5 Instant · Strengths & Key Advantages

Considerations & Trade-offs

GPT-5.5 Pro · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificações Técnicas

GPT-5.5 Instant vs GPT-5.5 Pro: Respostas Rápidas (FAQ)

Veredito

Perguntas Frequentes (FAQ)

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