Head-to-Head Model Comparison

GPT-5.2 vs GPT-5.1

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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

Partilhar

Troque e Compare Qualquer Modelo

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

GPT-5.2Profile

GPT-5.1Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

OpenAI

GPT-5.2

Modelo Principal de Fronteira

O GPT-5.2 da OpenAI é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 400K, velocidade de 128 tokens/s, índice de inteligência de 65/100 e tarif

Intelligence Index65 / 100

Input Token:

$1.75 / 1M

Output Token:

$14.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

76.5%

OpenAI

GPT-5.1

Modelo Principal de Fronteira

O GPT-5.1 da OpenAI é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 400K, velocidade de 130 tokens/s, índice de inteligência de 60/100 e tarif

Intelligence Index60 / 100

Input Token:

$1.25 / 1M

Output Token:

$10.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

74.9%

Principais Diferenças em Resumo

GPT-5.1 is 1.4x cheaper for API usage (input + output tokens combined).
GPT-5.1 is faster at 130 tok/s vs 128 tok/s.
GPT-5.2 leads on SWE-bench coding (76.5% vs 74.9%).

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

Feature	GPT-5.2	GPT-5.1
Intelligence Index Composite reasoning & knowledge score (0-100)	65	60
Provider	OpenAI	OpenAI
Input Price Cost per million input tokens	$1.75 / 1M	$1.25 / 1M
Output Price Cost per million output tokens	$14.00 / 1M	$10.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.87 / 1M	$1.34 / 1M
Context Window Maximum input + output tokens	400K tokens~600 A4 pages of text	400K tokens~600 A4 pages of text
Max Output Tokens Per single request	128K	128K
Throughput Speed Tokens generated per second	128 tok/s	130 tok/s
SWE-bench Verified Real-world software engineering	76.5%	74.9%
GPQA Diamond Graduate-level reasoning	77.8%	72.1%
Cached Input Price Prompt caching discount per 1M tokens	$0.17 / 1M	$0.13 / 1M

Quem vence em cada categoria?

At-a-glance decision framework

Coding

GPT-5.2

+1.6% SWE-bench lead

Cost

GPT-5.1

1.4x cheaper monthly runtime

Speed

GPT-5.1

+2% faster generation

Context

Tied

400K tokens window

Pontuações de Benchmarks Verificadas

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

GPT-5.2GPT-5.1

SWE-bench Verified (Autonomous Coding)

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

76.5%vs74.9%

GPQA Diamond (Doctorate-Level Science & Math)

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

77.8%vs72.1%

MMLU-Pro (Multi-task Language Understanding)

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

87.2%vs86.1%

LMSYS Chatbot Arena Elo

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

1388ptsvs1368pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

13.6%vs12.1%

Terminal-Bench (Agentic Coding & Terminal Use)

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

50%vs46.7%

SciCode (Scientific Computing)

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

46.5%vs43.2%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

74.8%vs71.8%

AIME (Advanced Math Competition)

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

93.4%vs91.2%

Long-Context Reasoning

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

81.5%vs77.9%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

128 tok/s vs130 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-5.21.12s

GPT-5.11.20s

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

GPT-5.25.03s

GPT-5.15.05s

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-5.2 Monthly API Bill

$15.49 / month

$1.75/1M in · $14/1M out

GPT-5.1 Monthly API Bill

$11.06 / month

$1.25/1M in · $10/1M out

GPT-5.1 saves approximately $4.43 / month (29%) under this workload.1.4x Savings

GPT-5.2 · Strengths & Key Advantages

Janela de contexto de 400K com limite máximo de saída de 128K tokens (SWE-bench Verified 76.5% · GPQA Diamond 77.8%)
Taxa de transferência rápida de 128 tokens/segundo com latência inicial (TTFT) de 1120 ms
Economia de API competitiva ($1.75/$14 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-5.1 · Strengths & Key Advantages

Janela de contexto de 400K com limite máximo de saída de 128K tokens (SWE-bench Verified 74.9% · GPQA Diamond 72.1%)
Taxa de transferência rápida de 130 tokens/segundo com latência inicial (TTFT) de 1200 ms
Economia de API competitiva ($1.25/$10 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

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	GPT-5.2	GPT-5.1
Cost per Task Estimated USD to finish one task	$2.05	$1.45
Output Tokens / Task Tokens generated per task	57K	52K
Reasoning Tokens / Task Thinking tokens burned per task	31K	28K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-5.2	GPT-5.1
Official API Model ID (SDK)	gpt-5-2	gpt-5-1
API Protocol	OpenAI Responses API & Chat Completions v1	OpenAI Responses API & Chat Completions v1
Release Date	2025-12	2025-11
Knowledge Cutoff	August 2025	October 2024
Architecture	Unified reasoning model (Instant / Thinking / Pro modes)	Unified Reasoning (Instant & Thinking)
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) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($1.75/1M in) across full 400K window	Flat rate ($1.25/1M in) across full 400K window
Prompt Cache Policy & TTL	Automatic prefix caching at $0.175/1M (no extra cache-write fee)	Automatic prefix caching at $0.125/1M (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-5.2 vs GPT-5.1: Respostas Rápidas (FAQ)

Which is more intelligent, GPT-5.2 or GPT-5.1?

GPT-5.2 is more intelligent. It scores 65 compared with 60 on the composite Intelligence Index.

Which model is faster?

GPT-5.1 is faster, generating 130 tokens per second compared with 128 tokens per second.

Which model is cheaper to run?

GPT-5.1 is cheaper at $1.34 per 1M tokens blended, compared with $1.87 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-5.2 has lower latency, with a time to first token of 1.12s compared with 1.20s.

Veredito

Tanto GPT-5.2 (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) quanto GPT-5.1 (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: GPT-5.2 lidera em inteligência geral e programação, GPT-5.1 oferece geração mais rápida e GPT-5.1 apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, GPT-5.2 ou GPT-5.1?+

Nas avaliações de inteligência e código, GPT-5.2 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, GPT-5.2 ou GPT-5.1?+

O GPT-5.2 custa $1.75 / $14.00 por 1M de tokens (entrada/saída) e o GPT-5.1 custa $1.25 / $10.00. No custo combinado, GPT-5.1 é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O GPT-5.2 suporta 400K tokens de contexto contra 400K tokens do GPT-5.1, enquanto GPT-5.1 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-5.2 vs GPT-5.1

Troque e Compare Qualquer Modelo

GPT-5.2

GPT-5.1

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo de Tokens

GPT-5.2 · Strengths & Key Advantages

Considerations & Trade-offs

GPT-5.1 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificações Técnicas

GPT-5.2 vs GPT-5.1: Respostas Rápidas (FAQ)

Veredito

Perguntas Frequentes (FAQ)

Related reading