Head-to-Head Model Comparison

GPT-5.1 Codex Max vs Claude Sonnet 5.5

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-5.1 Codex MaxProfile

Claude Sonnet 5.5Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

OpenAI

GPT-5.1 Codex Max

Modelo Principal de Fronteira

O GPT-5.1 Codex Max 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 95 tokens/s, índice de inteligência de 62/10

Intelligence Index62 / 100

Input Token:

$1.75 / 1M

Output Token:

$14.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

78.2%

Anthropic

Claude Sonnet 5.5

Modelo Principal de Fronteira

O Claude Sonnet 5.5 da Anthropic é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 1M, velocidade de 105 tokens/s, índice de inteligência de 78/

Intelligence Index78 / 100

Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

82.9%

Principais Diferenças em Resumo

Claude Sonnet 5.5 is 1.3x cheaper for API usage (input + output tokens combined).
Claude Sonnet 5.5 has a larger context window (1M vs 400K tokens).
Claude Sonnet 5.5 is faster at 105 tok/s vs 95 tok/s.
Claude Sonnet 5.5 leads on SWE-bench coding (82.9% vs 78.2%).

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

Feature	GPT-5.1 Codex Max	Claude Sonnet 5.5
Intelligence Index Composite reasoning & knowledge score (0-100)	62	78
Provider	OpenAI	Anthropic
Input Price Cost per million input tokens	$1.75 / 1M	$2.00 / 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	$1.54 / 1M
Context Window Maximum input + output tokens	400K tokens~600 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	128K	128K
Throughput Speed Tokens generated per second	95 tok/s	105 tok/s
SWE-bench Verified Real-world software engineering	78.2%	82.9%
GPQA Diamond Graduate-level reasoning	80%	79.4%
Cached Input Price Prompt caching discount per 1M tokens	$0.17 / 1M	$0.20 / 1M

Quem vence em cada categoria?

At-a-glance decision framework

Coding

Claude Sonnet 5.5

+4.7% SWE-bench lead

Cost

Claude Sonnet 5.5

1.3x cheaper monthly runtime

Speed

Claude Sonnet 5.5

+11% faster generation

Context

Claude Sonnet 5.5

1M tokens window

Pontuações de Benchmarks Verificadas

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

GPT-5.1 Codex MaxClaude Sonnet 5.5

SWE-bench Verified (Autonomous Coding)

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

78.2%vs82.9%

GPQA Diamond (Doctorate-Level Science & Math)

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

80%vs79.4%

MMLU-Pro (Multi-task Language Understanding)

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

87.2%vs90.1%

LMSYS Chatbot Arena Elo

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

1378ptsvs1490pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

13.2%vsN/A

Terminal-Bench (Agentic Coding & Terminal Use)

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

54.5%vs58.9%

SciCode (Scientific Computing)

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

48.5%vsN/A

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

75.5%vsN/A

AIME (Advanced Math Competition)

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

92.6%vsN/A

Long-Context Reasoning

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

80%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

95 tok/s vs105 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-5.1 Codex Max1.70s

Claude Sonnet 5.50.55s

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

GPT-5.1 Codex Max6.96s

Claude Sonnet 5.55.31s

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-5.1 Codex Max Monthly API Bill

$15.49 / month

$1.75/1M in · $14/1M out

Claude Sonnet 5.5 Monthly API Bill

$12.30 / month

$2/1M in · $10/1M out

Claude Sonnet 5.5 saves approximately $3.19 / month (21%) under this workload.1.3x Savings

GPT-5.1 Codex Max · Strengths & Key Advantages

Janela de contexto de 400K com limite máximo de saída de 128K tokens (SWE-bench Verified 78.2% · GPQA Diamond 80%)
Taxa de transferência rápida de 95 tokens/segundo com latência inicial (TTFT) de 1700 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

Claude Sonnet 5.5 · Strengths & Key Advantages

Janela de contexto de 1M com limite máximo de saída de 128K tokens (SWE-bench Verified 82.9% · GPQA Diamond 79.4%)
Taxa de transferência rápida de 105 tokens/segundo com latência inicial (TTFT) de 550 ms
Economia de API competitiva ($2/$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
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-5.1 Codex Max	Claude Sonnet 5.5
Cost per Task Estimated USD to finish one task	$2.40	$3.29
Output Tokens / Task Tokens generated per task	62K	72K
Reasoning Tokens / Task Thinking tokens burned per task	36K	37K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-5.1 Codex Max	Claude Sonnet 5.5
Official API Model ID (SDK)	gpt-5-1-codex-max	claude-sonnet-5-5-20260901
API Protocol	OpenAI Responses API & Chat Completions v1	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2025-11	2026-09
Knowledge Cutoff	October 2024	June 2026
Architecture	Maximum-capability code-specialised reasoning model	Adaptive Frontier Multimodal Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($1.75/1M in) across full 400K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Automatic prefix caching at $0.175/1M (no extra cache-write fee)	$0.2/1M cached read (90% off); 5-min default & 1-hour extended TTL
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 Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)	Custom Model Tuning via Amazon Bedrock & Prompt Distillation
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	Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated
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-5.1 Codex Max vs Claude Sonnet 5.5: Respostas Rápidas (FAQ)

Which is more intelligent, GPT-5.1 Codex Max or Claude Sonnet 5.5?

Claude Sonnet 5.5 is more intelligent. It scores 78 compared with 62 on the composite Intelligence Index.

Which model is faster?

Claude Sonnet 5.5 is faster, generating 105 tokens per second compared with 95 tokens per second.

Which model is cheaper to run?

Claude Sonnet 5.5 is cheaper at $1.54 per 1M tokens blended, compared with $1.87 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude Sonnet 5.5 has lower latency, with a time to first token of 0.55s compared with 1.70s.

Which model has a larger context window?

Claude Sonnet 5.5 has a larger context window, supporting 1M tokens compared with 400K tokens.

Veredito

Tanto GPT-5.1 Codex Max (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) quanto Claude Sonnet 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: Claude Sonnet 5.5 lidera em inteligência geral e programação, Claude Sonnet 5.5 oferece geração mais rápida e Claude Sonnet 5.5 apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, GPT-5.1 Codex Max ou Claude Sonnet 5.5?+

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

Qual modelo tem a API mais barata, GPT-5.1 Codex Max ou Claude Sonnet 5.5?+

O GPT-5.1 Codex Max custa $1.75 / $14.00 por 1M de tokens (entrada/saída) e o Claude Sonnet 5.5 custa $2.00 / $10.00. No custo combinado, Claude Sonnet 5.5 é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O GPT-5.1 Codex Max suporta 400K tokens de contexto contra 1M tokens do Claude Sonnet 5.5, enquanto Claude Sonnet 5.5 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-5.1 Codex Max vs Claude Sonnet 5.5

Troque e Compare Qualquer Modelo

GPT-5.1 Codex Max

Claude Sonnet 5.5

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo de Tokens

GPT-5.1 Codex Max · Strengths & Key Advantages

Considerations & Trade-offs

Claude Sonnet 5.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificações Técnicas

GPT-5.1 Codex Max vs Claude Sonnet 5.5: Respostas Rápidas (FAQ)

Veredito

Perguntas Frequentes (FAQ)

Related reading