Head-to-Head Model Comparison

Claude Opus 4.1 vs Gemini 2.5 Computer Use

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: 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 Agêntica e Uso de Ferramentas

O Claude Opus 4.1 da Anthropic é um modelo de IA projetado para fluxos de trabalho agênticos autônomos, chamada de ferramentas e automação, oferecendo janela de contexto de 200K, velocidade de 46 tokens/s, índice de inteligência de 62/100 e

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 Agêntica e Uso de Ferramentas

O Gemini 2.5 Computer Use da Google é um modelo de IA projetado para fluxos de trabalho agênticos autônomos, chamada de ferramentas e automação, oferecendo janela de contexto de 128K, velocidade de 85 tokens/s, índice de inteligência de 65/

Intelligence Index65 / 100

Input Token:

$1.50 / 1M

Output Token:

$8.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Principais Diferenças em Resumo

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 →

Feature	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

Quem vence em cada categoria?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Gemini 2.5 Computer Use

9.2x cheaper monthly runtime

Speed

Gemini 2.5 Computer Use

+85% faster generation

Context

Claude Opus 4.1

200K tokens window

Pontuações 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

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

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 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)

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

Janela de contexto de 200K com limite máximo de saída de 32K tokens (SWE-bench Verified 74.5% · GPQA Diamond 74.4%)
Taxa de transferência rápida de 46 tokens/segundo com latência inicial (TTFT) de 1700 ms
Economia de API competitiva ($15/$75 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

Gemini 2.5 Computer Use · Strengths & Key Advantages

Janela de contexto de 128K com limite máximo de saída de 16K tokens (Arena Elo 1365)
Taxa de transferência rápida de 85 tokens/segundo com latência inicial (TTFT) de 650 ms
Economia de API competitiva ($1.5/$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
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	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

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

Feature	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: Respostas 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.

Veredito

Tanto Claude Opus 4.1 (Indicado para fluxos de trabalho agênticos autônomos, chamada de ferramentas e automação, arquiteturas RAG corporativas e integração escalável via API.) quanto Gemini 2.5 Computer Use (Indicado para fluxos de trabalho agênticos autônomos, chamada de ferramentas e automação, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Gemini 2.5 Computer Use lidera em inteligência geral e programação, Gemini 2.5 Computer Use oferece geração mais rápida e Gemini 2.5 Computer Use apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Claude Opus 4.1 ou Gemini 2.5 Computer Use?+

Nas avaliações de inteligência e código, Gemini 2.5 Computer Use leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Claude Opus 4.1 ou Gemini 2.5 Computer Use?+

O Claude Opus 4.1 custa $15.00 / $75.00 por 1M de tokens (entrada/saída) e o Gemini 2.5 Computer Use custa $1.50 / $8.00. No custo combinado, Gemini 2.5 Computer Use é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Claude Opus 4.1 suporta 200K tokens de contexto contra 128K tokens do Gemini 2.5 Computer Use, enquanto Gemini 2.5 Computer Use 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)

Claude Opus 4.1 vs Gemini 2.5 Computer Use

Troque e Compare Qualquer Modelo

Claude Opus 4.1

Gemini 2.5 Computer Use

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo 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

Especificações Técnicas

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

Veredito

Perguntas Frequentes (FAQ)

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