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Head-to-Head Model Comparison

GPT-5.4 vs GPT-5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial
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Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
GPT-5.4 vs GPT-5.5: Benchmarks, Pricing & Speed Comparison

GPT-5.4 da OpenAI e GPT-5.5 da OpenAI são dois modelos de IA de destaque. O GPT-5.4 oferece uma janela de contexto de 1.05M tokens a $2.50/$15.00 por milhão de tokens, enquanto o GPT-5.5 oferece 1.05M tokens de contexto a $5.00/$30.00 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.

Comparação Direta (VS)

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OpenAI

GPT-5.4

IA Agêntica e Uso de Ferramentas

O GPT-5.4 da OpenAI é um modelo de IA projetado para fluxos de trabalho agênticos autônomos, chamada de ferramentas e automação, oferecendo janela de contexto de 1.1M, velocidade de 126 tokens/s, índice de inteligência de 78/100 e tarifa de

Intelligence Index78 / 100
Input Token:

$2.50 / 1M

Output Token:

$15.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

79.2%

OpenAI

GPT-5.5

Modelo Principal de Fronteira

O GPT-5.5 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 112 tokens/s, índice de inteligência de 84/100 e tarif

Intelligence Index84 / 100
Input Token:

$5.00 / 1M

Output Token:

$30.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

81%

Principais Diferenças em Resumo

  • GPT-5.4 is 2.0x cheaper for API usage (input + output tokens combined).
  • GPT-5.4 is faster at 126 tok/s vs 112 tok/s.
  • GPT-5.5 leads on SWE-bench coding (81.0% vs 79.2%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGPT-5.4GPT-5.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
7884
Provider
OpenAIOpenAI
Input Price
Cost per million input tokens
$2.50 / 1M$5.00 / 1M
Output Price
Cost per million output tokens
$15.00 / 1M$30.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$2.17 / 1M$4.35 / 1M
Context Window
Maximum input + output tokens
1.05M tokens~1,575 A4 pages of text1.05M tokens~1,575 A4 pages of text
Max Output Tokens
Per single request
128K128K
Throughput Speed
Tokens generated per second
126 tok/s112 tok/s
SWE-bench Verified
Real-world software engineering
79.2%81%
GPQA Diamond
Graduate-level reasoning
78.6%80%
Cached Input Price
Prompt caching discount per 1M tokens
$0.25 / 1M$0.50 / 1M

Quem vence em cada categoria?

At-a-glance decision framework
Coding
GPT-5.5
+1.8% SWE-bench lead
Cost
GPT-5.4
2.0x cheaper monthly runtime
Speed
GPT-5.4
+13% faster generation
Context
Tied
1.05M tokens window

Pontuações de Benchmarks Verificadas

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

GPT-5.4GPT-5.5
SWE-bench Verified (Autonomous Coding)

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

79.2%vs81%
GPQA Diamond (Doctorate-Level Science & Math)

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

78.6%vs80%
MMLU-Pro (Multi-task Language Understanding)

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

88.6%vs89.6%
LMSYS Chatbot Arena Elo

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

1436ptsvs1465pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

15.4%vs16.2%
Terminal-Bench (Agentic Coding & Terminal Use)

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

54.5%vs57.5%
SciCode (Scientific Computing)

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

49.5%vs52%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

77%vs78.5%
AIME (Advanced Math Competition)

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

93.8%vs94.8%
Long-Context Reasoning

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

84.5%vs87%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

126 tok/s vs112 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-5.41.08s
GPT-5.51.18s
Est. End-to-End Response (500 tokens)TTFT + generation time
GPT-5.45.05s
GPT-5.55.64s

Simulador Interativo de Custo de Tokens

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)
GPT-5.4 Monthly API Bill
$17.63 / month
$2.5/1M in · $15/1M out
GPT-5.5 Monthly API Bill
$35.25 / month
$5/1M in · $30/1M out
GPT-5.4 saves approximately $17.63 / month (50%) under this workload.2.0x Savings

GPT-5.4 · Strengths & Key Advantages

  • Janela de contexto de 1.1M com limite máximo de saída de 128K tokens (SWE-bench Verified 79.2% · GPQA Diamond 78.6%)
  • Taxa de transferência rápida de 126 tokens/segundo com latência inicial (TTFT) de 1080 ms
  • Economia de API competitiva ($2.5/$15 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-5.5 · Strengths & Key Advantages

  • Janela de contexto de 1.1M com limite máximo de saída de 128K tokens (SWE-bench Verified 81% · GPQA Diamond 80%)
  • Taxa de transferência rápida de 112 tokens/segundo com latência inicial (TTFT) de 1180 ms
  • Economia de API competitiva ($5/$30 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.

MetricGPT-5.4GPT-5.5
Cost per Task
Estimated USD to finish one task
$2.10$3.90
Output Tokens / Task
Tokens generated per task
62K64K
Reasoning Tokens / Task
Thinking tokens burned per task
34K37K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

FeatureGPT-5.4GPT-5.5
Official API Model ID (SDK)gpt-5-4gpt-5-5
API ProtocolOpenAI Responses API & Chat Completions v1OpenAI Responses API & Chat Completions v1
Release Date2026-032026-04
Knowledge CutoffAugust 2025December 2025
ArchitectureAgent-ready unified reasoning modelDefault frontier unified reasoning model
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($2.5/1M in) across full 1050K windowFlat rate ($5/1M in) across full 1050K window
Prompt Cache Policy & TTLAutomatic prefix caching at $0.25/1M (no extra cache-write fee)Automatic prefix caching at $0.5/1M (no extra cache-write fee)
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 tool + Hosted Code Interpreter & File Search RAGNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
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 ClassificationOpenAI Preparedness Framework Audited & System Card PublishedOpenAI Preparedness Framework Audited & System Card Published
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

GPT-5.4 vs GPT-5.5: Respostas Rápidas (FAQ)

Which is more intelligent, GPT-5.4 or GPT-5.5?

GPT-5.5 is more intelligent. It scores 84 compared with 78 on the composite Intelligence Index.

Which model is faster?

GPT-5.4 is faster, generating 126 tokens per second compared with 112 tokens per second.

Which model is cheaper to run?

GPT-5.4 is cheaper at $2.17 per 1M tokens blended, compared with $4.35 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-5.4 has lower latency, with a time to first token of 1.08s compared with 1.18s.

Veredito

Tanto GPT-5.4 (Indicado para fluxos de trabalho agênticos autônomos, chamada de ferramentas e automação, arquiteturas RAG corporativas e integração escalável via API.) quanto GPT-5.5 (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 lidera em inteligência geral e programação, GPT-5.4 oferece geração mais rápida e GPT-5.4 apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, GPT-5.4 ou GPT-5.5?+

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

Qual modelo tem a API mais barata, GPT-5.4 ou GPT-5.5?+

O GPT-5.4 custa $2.50 / $15.00 por 1M de tokens (entrada/saída) e o GPT-5.5 custa $5.00 / $30.00. No custo combinado, GPT-5.4 é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O GPT-5.4 suporta 1.05M tokens de contexto contra 1.05M tokens do GPT-5.5, enquanto GPT-5.4 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 & 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.

Fontes oficiais: Documentação oficial de API da OpenAI e OpenAI e benchmarks independentes (2026).