Head-to-Head Model Comparison

Claude Opus 4.1 vs Gemini 2.5 Computer Use

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan 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

Model Agen Otonom & Alat

Claude Opus 4.1 dari Anthropic adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 200K, kecepatan 46 token/detik, indeks kecerdasan 62/10

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

Model Agen Otonom & Alat

Gemini 2.5 Computer Use dari Google adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 128K, kecepatan 85 token/detik, indeks kecerdasan

Intelligence Index65 / 100

Input Token:

$1.50 / 1M

Output Token:

$8.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

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

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

Latensi & Waktu Respons

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

Simulator Biaya Token Interaktif

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

Jendela konteks 200K dengan kapasitas output maksimum hingga 32K token (SWE-bench Verified 74.5% · GPQA Diamond 74.4%)
Kecepatan generasi tinggi 46 token/detik dengan latensi token pertama (TTFT) hanya 1700 ms
Skema harga API kompetitif (tarif $15/$75 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Gemini 2.5 Computer Use · Strengths & Key Advantages

Jendela konteks 128K dengan kapasitas output maksimum hingga 16K token (Arena Elo 1365)
Kecepatan generasi tinggi 85 token/detik dengan latensi token pertama (TTFT) hanya 650 ms
Skema harga API kompetitif (tarif $1.5/$8 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

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

Spesifikasi Teknis

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: Jawaban Cepat (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.

Kesimpulan

Baik Claude Opus 4.1 (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Gemini 2.5 Computer Use (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Gemini 2.5 Computer Use unggul dalam penalaran dan pemrograman, Gemini 2.5 Computer Use memberikan kecepatan generasi token lebih tinggi, dan Gemini 2.5 Computer Use lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Claude Opus 4.1 atau Gemini 2.5 Computer Use?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Gemini 2.5 Computer Use memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Claude Opus 4.1 vs Gemini 2.5 Computer Use?+

Claude Opus 4.1 mengenakan biaya $15.00 / $75.00 per 1M token input/output, sedangkan Gemini 2.5 Computer Use sebesar $1.50 / $8.00. Secara keseluruhan, Gemini 2.5 Computer Use lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Claude Opus 4.1 mendukung konteks 200K token dibandingkan 128K token pada Gemini 2.5 Computer Use, sementara Gemini 2.5 Computer Use unggul dalam kecepatan output token per detik.

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

Ganti & Bandingkan Model Apa Saja

Claude Opus 4.1

Gemini 2.5 Computer Use

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

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

Spesifikasi Teknis

Claude Opus 4.1 vs Gemini 2.5 Computer Use: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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