Head-to-Head Model Comparison

Gemini 1.5 Pro vs Claude 3 Opus

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

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

Gemini 1.5 ProProfile

Claude 3 OpusProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Google

Gemini 1.5 Pro

Model Generasi Klasik

Gemini 1.5 Pro dari Google adalah model AI yang dirancang untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, menghadirkan jendela konteks 2M, kecepatan 65 token/detik, indeks kecerdasan 46/100, serta tarif $1.25/$5

Intelligence Index46 / 100

Input Token:

$1.25 / 1M

Output Token:

$5.00 / 1M

Context Window:

2M tokens

SWE-bench Verified:

32.5%

Anthropic

Claude 3 Opus

Model Generasi Klasik

Claude 3 Opus dari Anthropic adalah model AI yang dirancang untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, menghadirkan jendela konteks 200K, kecepatan 30 token/detik, indeks kecerdasan 44/100, serta tarif $15/$

Intelligence Index44 / 100

Input Token:

$15.00 / 1M

Output Token:

$75.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

32.2%

Perbedaan Utama Sekilas

Gemini 1.5 Pro is 13.5x cheaper for API usage (input + output tokens combined).
Gemini 1.5 Pro has a larger context window (2M vs 200K tokens).
Gemini 1.5 Pro is faster at 65 tok/s vs 30 tok/s.
Gemini 1.5 Pro leads on SWE-bench coding (32.5% vs 32.2%).

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

Feature	Gemini 1.5 Pro	Claude 3 Opus
Intelligence Index Composite reasoning & knowledge score (0-100)	46	44
Provider	Google	Anthropic
Input Price Cost per million input tokens	$1.25 / 1M	$15.00 / 1M
Output Price Cost per million output tokens	$5.00 / 1M	$75.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.97 / 1M	$11.55 / 1M
Context Window Maximum input + output tokens	2M tokens~3,000 A4 pages of text	200K tokens~300 A4 pages of text
Max Output Tokens Per single request	8K	4K
Throughput Speed Tokens generated per second	65 tok/s	30 tok/s
SWE-bench Verified Real-world software engineering	32.5%	32.2%
GPQA Diamond Graduate-level reasoning	58.5%	50.4%
Cached Input Price Prompt caching discount per 1M tokens	$0.31 / 1M	$1.50 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Gemini 1.5 Pro

+0.3% SWE-bench lead

Cost

Gemini 1.5 Pro

13.5x cheaper monthly runtime

Speed

Gemini 1.5 Pro

+117% faster generation

Context

Gemini 1.5 Pro

2M tokens window

Skor Benchmark Terverifikasi

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

Gemini 1.5 ProClaude 3 Opus

SWE-bench Verified (Autonomous Coding)

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

32.5%vs32.2%

GPQA Diamond (Doctorate-Level Science & Math)

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

58.5%vs50.4%

MMLU-Pro (Multi-task Language Understanding)

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

75.2%vs74%

LMSYS Chatbot Arena Elo

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

1290ptsvs1262pts

Long-Context Reasoning

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

89.2%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

65 tok/s vs30 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

Gemini 1.5 Pro0.80s

Claude 3 Opus1.20s

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

Gemini 1.5 Pro8.49s

Claude 3 Opus17.87s

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)

Gemini 1.5 Pro Monthly API Bill

$6.84 / month

$1.25/1M in · $5/1M out

Claude 3 Opus Monthly API Bill

$92.25 / month

$15/1M in · $75/1M out

Gemini 1.5 Pro saves approximately $85.41 / month (93%) under this workload.13.5x Savings

Gemini 1.5 Pro · Strengths & Key Advantages

Jendela konteks 2M dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 32.5% · GPQA Diamond 58.5%)
Kecepatan generasi tinggi 65 token/detik dengan latensi token pertama (TTFT) hanya 800 ms
Skema harga API kompetitif (tarif $1.25/$5 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

Claude 3 Opus · Strengths & Key Advantages

Jendela konteks 200K dengan kapasitas output maksimum hingga 4K token (SWE-bench Verified 32.2% · GPQA Diamond 50.4%)
Kecepatan generasi tinggi 30 token/detik dengan latensi token pertama (TTFT) hanya 1200 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

Token Use & Task Economics

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

Metric	Gemini 1.5 Pro	Claude 3 Opus
Cost per Task Estimated USD to finish one task	$0.20	$0.20
Output Tokens / Task Tokens generated per task	24K	24K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Gemini 1.5 Pro	Claude 3 Opus
Official API Model ID (SDK)	models/gemini-1-5-pro	claude-3-opus-20240301
API Protocol	Google Gemini API (generateContent) + OpenAI-Compatible SDK	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2024-02	2024-03
Knowledge Cutoff	May 2024	August 2023
Architecture	Sparse Mixture-of-Experts (MoE) Multimodal	Frontier Dense Multimodal Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Implicit + Explicit Context Caching at $0.31/1M with configurable TTL	$1.5/1M 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	Built-in Google Search Grounding + Managed Python Code Execution Sandbox	Native Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	Vertex AI Supervised Adapter Tuning & Context Distillation	Custom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)	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	Google DeepMind Frontier Safety Framework Verified	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, audio, video	text, vision
Output Modalities	text	text

Gemini 1.5 Pro vs Claude 3 Opus: Jawaban Cepat (FAQ)

Which is more intelligent, Gemini 1.5 Pro or Claude 3 Opus?

Gemini 1.5 Pro is more intelligent. It scores 46 compared with 44 on the composite Intelligence Index.

Which model is faster?

Gemini 1.5 Pro is faster, generating 65 tokens per second compared with 30 tokens per second.

Which model is cheaper to run?

Gemini 1.5 Pro is cheaper at $0.97 per 1M tokens blended, compared with $11.55 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 1.5 Pro has lower latency, with a time to first token of 0.80s compared with 1.20s.

Which model has a larger context window?

Gemini 1.5 Pro has a larger context window, supporting 2M tokens compared with 200K tokens.

Kesimpulan

Baik Gemini 1.5 Pro (Sangat cocok untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude 3 Opus (Sangat cocok untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Gemini 1.5 Pro unggul dalam penalaran dan pemrograman, Gemini 1.5 Pro memberikan kecepatan generasi token lebih tinggi, dan Gemini 1.5 Pro lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Gemini 1.5 Pro atau Claude 3 Opus?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Gemini 1.5 Pro memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Gemini 1.5 Pro vs Claude 3 Opus?+

Gemini 1.5 Pro mengenakan biaya $1.25 / $5.00 per 1M token input/output, sedangkan Claude 3 Opus sebesar $15.00 / $75.00. Secara keseluruhan, Gemini 1.5 Pro lebih hemat biaya.

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

Gemini 1.5 Pro mendukung konteks 2M token dibandingkan 200K token pada Claude 3 Opus, sementara Gemini 1.5 Pro 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)

Gemini 1.5 Pro vs Claude 3 Opus

Ganti & Bandingkan Model Apa Saja

Gemini 1.5 Pro

Claude 3 Opus

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Gemini 1.5 Pro · Strengths & Key Advantages

Considerations & Trade-offs

Claude 3 Opus · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Gemini 1.5 Pro vs Claude 3 Opus: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

Related reading