Head-to-Head Model Comparison

o3-pro vs Claude Opus 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial

Cambia y Compara Cualquier Modelo

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

o3-proProfile

Claude Opus 5.5Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

OpenAI

o3-pro

Motor de Razonamiento Profundo

o3-pro de OpenAI es un modelo de IA diseñado para razonamiento lógico profundo, matemáticas avanzadas y resolución científica paso a paso, con ventana de contexto de 200K, velocidad de 30 tokens/s, índice de inteligencia de 58/100 y tarifa

Intelligence Index58 / 100

Input Token:

$20.00 / 1M

Output Token:

$80.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

71.5%

Anthropic

Claude Opus 5.5

Modelo Insignia de Frontera

Claude Opus 5.5 de Anthropic es un modelo de IA diseñado para razonamiento empresarial de frontera, programación avanzada y flujos de producción, con ventana de contexto de 1M, velocidad de 78 tokens/s, índice de inteligencia de 94/100 y ta

Intelligence Index94 / 100

Input Token:

$4.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

84.6%

Diferencias Clave de un Vistazo

Claude Opus 5.5 is 4.5x cheaper for API usage (input + output tokens combined).
Claude Opus 5.5 has a larger context window (1M vs 200K tokens).
Claude Opus 5.5 is faster at 78 tok/s vs 30 tok/s.
Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 71.5%).

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

Característica	o3-pro	Claude Opus 5.5
Intelligence Index Composite reasoning & knowledge score (0-100)	58	94
Provider	OpenAI	Anthropic
Input Price Cost per million input tokens	$20.00 / 1M	$4.00 / 1M
Output Price Cost per million output tokens	$80.00 / 1M	$20.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$15.50 / 1M	$3.08 / 1M
Context Window Maximum input + output tokens	200K tokens~300 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	100K	128K
Throughput Speed Tokens generated per second	30 tok/s	78 tok/s
SWE-bench Verified Real-world software engineering	71.5%	84.6%
GPQA Diamond Graduate-level reasoning	79.5%	82.3%
Cached Input Price Prompt caching discount per 1M tokens	$5.00 / 1M	$0.40 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Claude Opus 5.5

+13.1% SWE-bench lead

Costo

Claude Opus 5.5

4.5x cheaper monthly runtime

Velocidad

Claude Opus 5.5

+160% faster generation

Contexto

Claude Opus 5.5

1M tokens window

Puntuaciones de Benchmarks Verificadas

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

o3-proClaude Opus 5.5

SWE-bench Verified (Autonomous Coding)

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

71.5%vs84.6%

GPQA Diamond (Doctorate-Level Science & Math)

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

79.5%vs82.3%

MMLU-Pro (Multi-task Language Understanding)

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

88.5%vs91.5%

LMSYS Chatbot Arena Elo

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

1352ptsvs1507pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

13.6%vs19.8%

Terminal-Bench (Agentic Coding & Terminal Use)

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

47.5%vs66.4%

SciCode (Scientific Computing)

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

45.5%vs58.7%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

73%vs83.1%

AIME (Advanced Math Competition)

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

93%vs95.4%

Long-Context Reasoning

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

80.5%vs92.6%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

30 tok/s vs78 tok/s

Latencia y Tiempo de Respuesta

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

o3-pro5.20s

Claude Opus 5.51.40s

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

o3-pro21.87s

Claude Opus 5.57.81s

Simulador Interactivo de Costos 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-pro Monthly API Bill

$109.50 / month

$20/1M in · $80/1M out

Claude Opus 5.5 Monthly API Bill

$24.60 / month

$4/1M in · $20/1M out

Claude Opus 5.5 saves approximately $84.90 / month (78%) under this workload.4.5x Savings

o3-pro · Strengths & Key Advantages

Ventana de contexto de 200K con hasta 100K tokens de salida máxima (SWE-bench Verified 71.5% · GPQA Diamond 79.5%)
Rendimiento ágil de 30 tokens/segundo con latencia inicial (TTFT) de solo 5200 ms
Economía de API competitiva ($20/$80 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Considerations & Trade-offs

Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
En volúmenes masivos de tokens, se recomienda activar el caché de prompts y Batch API para optimizar costos

Claude Opus 5.5 · Strengths & Key Advantages

Ventana de contexto de 1M con hasta 128K tokens de salida máxima (SWE-bench Verified 84.6% · GPQA Diamond 82.3%)
Rendimiento ágil de 78 tokens/segundo con latencia inicial (TTFT) de solo 1400 ms
Economía de API competitiva ($4/$20 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Considerations & Trade-offs

Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
En volúmenes masivos de tokens, se recomienda activar el caché de prompts y Batch API para optimizar costos

Token Use & Task Economics

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

Metric	o3-pro	Claude Opus 5.5
Cost per Task Estimated USD to finish one task	$11.68	$3.85
Output Tokens / Task Tokens generated per task	58K	68K
Reasoning Tokens / Task Thinking tokens burned per task	38K	42K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	o3-pro	Claude Opus 5.5
Official API Model ID (SDK)	o3-pro	claude-opus-5-5-20260901
API Protocol	OpenAI Responses API & Chat Completions v1	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2025-06	2026-09
Knowledge Cutoff	June 2024	June 2026
Architecture	High-effort reasoning transformer	Extended Autonomous Hybrid Reasoning 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 ($20/1M 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 $5/1M (no extra cache-write fee)	$0.4/1M 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-pro vs Claude Opus 5.5: Respuestas Rápidas (FAQ)

Which is more intelligent, o3-pro or Claude Opus 5.5?

Claude Opus 5.5 is more intelligent. It scores 94 compared with 58 on the composite Intelligence Index.

Which model is faster?

Claude Opus 5.5 is faster, generating 78 tokens per second compared with 30 tokens per second.

Which model is cheaper to run?

Claude Opus 5.5 is cheaper at $3.08 per 1M tokens blended, compared with $15.50 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude Opus 5.5 has lower latency, with a time to first token of 1.40s compared with 5.20s.

Which model has a larger context window?

Claude Opus 5.5 has a larger context window, supporting 1M tokens compared with 200K tokens.

Veredicto

Tanto o3-pro (Ideal para razonamiento lógico profundo, matemáticas avanzadas y resolución científica paso a paso, sistemas RAG empresariales y automatización mediante API.) como Claude Opus 5.5 (Ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Claude Opus 5.5 lidera en inteligencia general y programación, Claude Opus 5.5 ofrece mayor velocidad de generación de tokens y Claude Opus 5.5 resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, o3-pro o Claude Opus 5.5?+

En las pruebas de inteligencia compuesta y resolución de código, Claude Opus 5.5 obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de o3-pro frente a Claude Opus 5.5?+

o3-pro cuesta $20.00 / $80.00 por millón de tokens de entrada/salida, mientras que Claude Opus 5.5 cuesta $4.00 / $20.00. En costo combinado, Claude Opus 5.5 es la opción más económica.

¿Qué modelo tiene mayor ventana de contexto y menor latencia?+

o3-pro cuenta con 200K tokens de contexto frente a 1M tokens de Claude Opus 5.5. En velocidad de inferencia, Claude Opus 5.5 ofrece un rendimiento superior.

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-pro vs Claude Opus 5.5

Cambia y Compara Cualquier Modelo

o3-pro

Claude Opus 5.5

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

o3-pro · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 5.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

o3-pro vs Claude Opus 5.5: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

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