Head-to-Head Model Comparison

o3 vs Claude Opus 4.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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

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o3Profile

Claude Opus 4.5Profile

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OpenAI

o3

Motor de Raciocínio Profundo

O o3 da OpenAI é um modelo de IA projetado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, oferecendo janela de contexto de 200K, velocidade de 75 tokens/s, índice de inteligência de 56/100 e tarifa

Intelligence Index56 / 100

Input Token:

$2.00 / 1M

Output Token:

$8.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

69.1%

Anthropic

Claude Opus 4.5

Modelo Principal de Fronteira

O Claude Opus 4.5 da Anthropic é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 200K, velocidade de 62 tokens/s, índice de inteligência de 63/1

Intelligence Index63 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

77.2%

Principais Diferenças em Resumo

o3 is 2.8x cheaper for API usage (input + output tokens combined).
o3 is faster at 75 tok/s vs 62 tok/s.
Claude Opus 4.5 leads on SWE-bench coding (77.2% vs 69.1%).

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

Feature	o3	Claude Opus 4.5
Intelligence Index Composite reasoning & knowledge score (0-100)	56	63
Provider	OpenAI	Anthropic
Input Price Cost per million input tokens	$2.00 / 1M	$5.00 / 1M
Output Price Cost per million output tokens	$8.00 / 1M	$25.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.55 / 1M	$3.85 / 1M
Context Window Maximum input + output tokens	200K tokens~300 A4 pages of text	200K tokens~300 A4 pages of text
Max Output Tokens Per single request	100K	64K
Throughput Speed Tokens generated per second	75 tok/s	62 tok/s
SWE-bench Verified Real-world software engineering	69.1%	77.2%
GPQA Diamond Graduate-level reasoning	76.5%	74.8%
Cached Input Price Prompt caching discount per 1M tokens	$0.50 / 1M	$0.50 / 1M

Quem vence em cada categoria?

At-a-glance decision framework

Coding

Claude Opus 4.5

+8.1% SWE-bench lead

Cost

2.8x cheaper monthly runtime

Speed

+21% faster generation

Context

Tied

200K tokens window

Pontuações de Benchmarks Verificadas

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

o3Claude Opus 4.5

SWE-bench Verified (Autonomous Coding)

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

69.1%vs77.2%

GPQA Diamond (Doctorate-Level Science & Math)

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

76.5%vs74.8%

MMLU-Pro (Multi-task Language Understanding)

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

87%vs87.3%

LMSYS Chatbot Arena Elo

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

1345ptsvs1376pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

12.9%vs13.7%

Terminal-Bench (Agentic Coding & Terminal Use)

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

42%vs49.2%

SciCode (Scientific Computing)

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

42.5%vs45.6%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

70.5%vs74.1%

AIME (Advanced Math Competition)

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

91.6%vs88.5%

Long-Context Reasoning

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

78.5%vs79.4%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

75 tok/s vs62 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

o32.80s

Claude Opus 4.52.10s

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

o39.47s

Claude Opus 4.510.16s

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)

o3 Monthly API Bill

$10.95 / month

$2/1M in · $8/1M out

Claude Opus 4.5 Monthly API Bill

$30.75 / month

$5/1M in · $25/1M out

o3 saves approximately $19.80 / month (64%) under this workload.2.8x Savings

o3 · Strengths & Key Advantages

Janela de contexto de 200K com limite máximo de saída de 100K tokens (SWE-bench Verified 69.1% · GPQA Diamond 76.5%)
Taxa de transferência rápida de 75 tokens/segundo com latência inicial (TTFT) de 2800 ms
Economia de API competitiva ($2/$8 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

Claude Opus 4.5 · Strengths & Key Advantages

Janela de contexto de 200K com limite máximo de saída de 64K tokens (SWE-bench Verified 77.2% · GPQA Diamond 74.8%)
Taxa de transferência rápida de 62 tokens/segundo com latência inicial (TTFT) de 2100 ms
Economia de API competitiva ($5/$25 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	o3	Claude Opus 4.5
Cost per Task Estimated USD to finish one task	$1.35	$5.86
Output Tokens / Task Tokens generated per task	48K	73K
Reasoning Tokens / Task Thinking tokens burned per task	26K	43K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

Feature	o3	Claude Opus 4.5
Official API Model ID (SDK)	o3	claude-opus-4-5-20251101
API Protocol	OpenAI Responses API & Chat Completions v1	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2025-04	2025-11
Knowledge Cutoff	June 2024	March 2025
Architecture	Reasoning transformer with adjustable thinking effort	Hybrid Reasoning
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) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($2/1M in) across full 200K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Automatic prefix caching at $0.5/1M (no extra cache-write fee)	$0.5/1M 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

o3 vs Claude Opus 4.5: Respostas Rápidas (FAQ)

Which is more intelligent, o3 or Claude Opus 4.5?

Claude Opus 4.5 is more intelligent. It scores 63 compared with 56 on the composite Intelligence Index.

Which model is faster?

o3 is faster, generating 75 tokens per second compared with 62 tokens per second.

Which model is cheaper to run?

o3 is cheaper at $1.55 per 1M tokens blended, compared with $3.85 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude Opus 4.5 has lower latency, with a time to first token of 2.10s compared with 2.80s.

Veredito

Tanto o3 (Indicado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, arquiteturas RAG corporativas e integração escalável via API.) quanto Claude Opus 4.5 (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Claude Opus 4.5 lidera em inteligência geral e programação, o3 oferece geração mais rápida e o3 apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, o3 ou Claude Opus 4.5?+

Nas avaliações de inteligência e código, Claude Opus 4.5 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, o3 ou Claude Opus 4.5?+

O o3 custa $2.00 / $8.00 por 1M de tokens (entrada/saída) e o Claude Opus 4.5 custa $5.00 / $25.00. No custo combinado, o3 é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O o3 suporta 200K tokens de contexto contra 200K tokens do Claude Opus 4.5, enquanto o3 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)

o3 vs Claude Opus 4.5

Troque e Compare Qualquer Modelo

o3

Claude Opus 4.5

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo de Tokens

o3 · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 4.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificações Técnicas

o3 vs Claude Opus 4.5: Respostas Rápidas (FAQ)

Veredito

Perguntas Frequentes (FAQ)

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