Head-to-Head Model Comparison

Claude Opus 4.1 vs Gemini 2.5 Computer Use

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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

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Claude Opus 4.1Profile

Gemini 2.5 Computer UseProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Anthropic

Claude Opus 4.1

IA Agéntica y Uso de Herramientas

Claude Opus 4.1 de Anthropic es un modelo de IA diseñado para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, con ventana de contexto de 200K, velocidad de 46 tokens/s, índice de inteligencia de 62/1

Intelligence Index62 / 100

Input Token:

$15.00 / 1M

Output Token:

$75.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

74.5%

Google

Gemini 2.5 Computer Use

IA Agéntica y Uso de Herramientas

Gemini 2.5 Computer Use de Google es un modelo de IA diseñado para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, con ventana de contexto de 128K, velocidad de 85 tokens/s, índice de inteligencia de

Intelligence Index65 / 100

Input Token:

$1.50 / 1M

Output Token:

$8.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Diferencias Clave de un Vistazo

Gemini 2.5 Computer Use is 9.2x cheaper for API usage (input + output tokens combined).
Claude Opus 4.1 has a larger context window (200K vs 128K tokens).
Gemini 2.5 Computer Use is faster at 85 tok/s vs 46 tok/s.

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

Característica	Claude Opus 4.1	Gemini 2.5 Computer Use
Intelligence Index Composite reasoning & knowledge score (0-100)	62	65
Provider	Anthropic	Google
Input Price Cost per million input tokens	$15.00 / 1M	$1.50 / 1M
Output Price Cost per million output tokens	$75.00 / 1M	$8.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$11.55 / 1M	$1.36 / 1M
Context Window Maximum input + output tokens	200K tokens~300 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	32K	16K
Throughput Speed Tokens generated per second	46 tok/s	85 tok/s
SWE-bench Verified Real-world software engineering	74.5%	N/A
GPQA Diamond Graduate-level reasoning	74.4%	N/A
Cached Input Price Prompt caching discount per 1M tokens	$1.50 / 1M	$0.38 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Evaluations ongoing

Costo

Gemini 2.5 Computer Use

9.2x cheaper monthly runtime

Velocidad

Gemini 2.5 Computer Use

+85% faster generation

Contexto

Claude Opus 4.1

200K tokens window

Puntuaciones de Benchmarks Verificadas

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

Claude Opus 4.1Gemini 2.5 Computer Use

SWE-bench Verified (Autonomous Coding)

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

74.5%vsN/A

GPQA Diamond (Doctorate-Level Science & Math)

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

74.4%vsN/A

MMLU-Pro (Multi-task Language Understanding)

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

86.8%vsN/A

LMSYS Chatbot Arena Elo

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

1372ptsvs1365pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

45%vs45.2%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

46 tok/s vs85 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

Claude Opus 4.11.70s

Gemini 2.5 Computer Use0.65s

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

Claude Opus 4.112.57s

Gemini 2.5 Computer Use6.53s

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)

Claude Opus 4.1 Monthly API Bill

$92.25 / month

$15/1M in · $75/1M out

Gemini 2.5 Computer Use Monthly API Bill

$10.01 / month

$1.5/1M in · $8/1M out

Gemini 2.5 Computer Use saves approximately $82.24 / month (89%) under this workload.9.2x Savings

Claude Opus 4.1 · Strengths & Key Advantages

Ventana de contexto de 200K con hasta 32K tokens de salida máxima (SWE-bench Verified 74.5% · GPQA Diamond 74.4%)
Rendimiento ágil de 46 tokens/segundo con latencia inicial (TTFT) de solo 1700 ms
Economía de API competitiva ($15/$75 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

Gemini 2.5 Computer Use · Strengths & Key Advantages

Ventana de contexto de 128K con hasta 16K tokens de salida máxima (Arena Elo 1365)
Rendimiento ágil de 85 tokens/segundo con latencia inicial (TTFT) de solo 650 ms
Economía de API competitiva ($1.5/$8 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 demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Token Use & Task Economics

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

Metric	Claude Opus 4.1	Gemini 2.5 Computer Use
Cost per Task Estimated USD to finish one task	$16.46	$1.15
Output Tokens / Task Tokens generated per task	72K	15K
Reasoning Tokens / Task Thinking tokens burned per task	37K	6K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	Claude Opus 4.1	Gemini 2.5 Computer Use
Official API Model ID (SDK)	claude-opus-4-1-20250801	models/gemini-2-5-computer-use
API Protocol	Anthropic Messages API + AWS Bedrock + Vertex AI	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2025-08	2025-10
Knowledge Cutoff	March 2025	June 2025
Architecture	Refined Frontier Reasoning Transformer	Action-grounded vision-language agent model
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 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)	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens	Flat rate ($1.5/1M in) across full 128K window
Prompt Cache Policy & TTL	$1.5/1M cached read (90% off); 5-min default & 1-hour extended TTL	Implicit + Explicit Context Caching at $0.375/1M with configurable 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 Citations + Code Execution Tool + MCP Connectors	Built-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning Support	Custom Model Tuning via Amazon Bedrock & Prompt Distillation	Vertex AI Supervised Adapter Tuning & Context 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	Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated	Google DeepMind Frontier Safety Framework Verified
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

Claude Opus 4.1 vs Gemini 2.5 Computer Use: Respuestas Rápidas (FAQ)

Which is more intelligent, Claude Opus 4.1 or Gemini 2.5 Computer Use?

Gemini 2.5 Computer Use is more intelligent. It scores 65 compared with 62 on the composite Intelligence Index.

Which model is faster?

Gemini 2.5 Computer Use is faster, generating 85 tokens per second compared with 46 tokens per second.

Which model is cheaper to run?

Gemini 2.5 Computer Use is cheaper at $1.36 per 1M tokens blended, compared with $11.55 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 2.5 Computer Use has lower latency, with a time to first token of 0.65s compared with 1.70s.

Which model has a larger context window?

Claude Opus 4.1 has a larger context window, supporting 200K tokens compared with 128K tokens.

Veredicto

Tanto Claude Opus 4.1 (Ideal para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, sistemas RAG empresariales y automatización mediante API.) como Gemini 2.5 Computer Use (Ideal para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Gemini 2.5 Computer Use lidera en inteligencia general y programación, Gemini 2.5 Computer Use ofrece mayor velocidad de generación de tokens y Gemini 2.5 Computer Use resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Claude Opus 4.1 o Gemini 2.5 Computer Use?+

En las pruebas de inteligencia compuesta y resolución de código, Gemini 2.5 Computer Use obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Claude Opus 4.1 frente a Gemini 2.5 Computer Use?+

Claude Opus 4.1 cuesta $15.00 / $75.00 por millón de tokens de entrada/salida, mientras que Gemini 2.5 Computer Use cuesta $1.50 / $8.00. En costo combinado, Gemini 2.5 Computer Use es la opción más económica.

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

Claude Opus 4.1 cuenta con 200K tokens de contexto frente a 128K tokens de Gemini 2.5 Computer Use. En velocidad de inferencia, Gemini 2.5 Computer Use 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)

Claude Opus 4.1 vs Gemini 2.5 Computer Use

Cambia y Compara Cualquier Modelo

Claude Opus 4.1

Gemini 2.5 Computer Use

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Claude Opus 4.1 · Strengths & Key Advantages

Considerations & Trade-offs

Gemini 2.5 Computer Use · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

Claude Opus 4.1 vs Gemini 2.5 Computer Use: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

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