Head-to-Head Model Comparison

Grok 4.7 vs Claude Opus 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs 연구팀 검토 완료최종 검토일: October 2026편집 정책

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

Grok 4.7Profile

Claude Opus 5.5Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

xAI

Grok 4.7

플래그십 프론티어 모델

xAI의 Grok 4.7 모델은 최첨단 엔터프라이즈 추론, 소프트웨어 개발 및 핵심 프로덕션 워크로드에 최적화된 AI 모델로, 500K 컨텍스트 윈도우, 초당 110 토큰의 생성 속도, 종합 지능 지수 46/100점(1M 토큰당 입력 $2 / 출력 $6)을 제공합니다.

Intelligence Index46 / 100

Input Token:

$2.00 / 1M

Output Token:

$6.00 / 1M

Context Window:

500K tokens

SWE-bench Verified:

77.2%

Anthropic

Claude Opus 5.5

플래그십 프론티어 모델

Anthropic의 Claude Opus 5.5 모델은 최첨단 엔터프라이즈 추론, 소프트웨어 개발 및 핵심 프로덕션 워크로드에 최적화된 AI 모델로, 1M 컨텍스트 윈도우, 초당 78 토큰의 생성 속도, 종합 지능 지수 94/100점(1M 토큰당 입력 $4 / 출력 $20)을 제공합니다.

Intelligence Index94 / 100

Input Token:

$4.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

84.6%

한눈에 보는 핵심 차이점

Grok 4.7 is 2.7x cheaper for API usage (input + output tokens combined).
Claude Opus 5.5 has a larger context window (1M vs 500K tokens).
Grok 4.7 is faster at 110 tok/s vs 78 tok/s.
Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 77.2%).

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

Feature	Grok 4.7	Claude Opus 5.5
Intelligence Index Composite reasoning & knowledge score (0-100)	46	94
Provider	xAI	Anthropic
Input Price Cost per million input tokens	$2.00 / 1M	$4.00 / 1M
Output Price Cost per million output tokens	$6.00 / 1M	$20.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.35 / 1M	$3.08 / 1M
Context Window Maximum input + output tokens	500K tokens~750 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	66K	128K
Throughput Speed Tokens generated per second	110 tok/s	78 tok/s
SWE-bench Verified Real-world software engineering	77.2%	84.6%
GPQA Diamond Graduate-level reasoning	78.5%	82.3%
Cached Input Price Prompt caching discount per 1M tokens	$0.50 / 1M	$0.40 / 1M

부문별 우위 모델

At-a-glance decision framework

Coding

Claude Opus 5.5

+7.4% SWE-bench lead

Cost

Grok 4.7

2.7x cheaper monthly runtime

Speed

Grok 4.7

+41% faster generation

Context

Claude Opus 5.5

1M tokens window

검증된 벤치마크 점수 비교

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

Grok 4.7Claude Opus 5.5

SWE-bench Verified (Autonomous Coding)

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

77.2%vs84.6%

GPQA Diamond (Doctorate-Level Science & Math)

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

78.5%vs82.3%

MMLU-Pro (Multi-task Language Understanding)

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

88.6%vs91.5%

LMSYS Chatbot Arena Elo

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

1465ptsvs1507pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

15.2%vs19.8%

Terminal-Bench (Agentic Coding & Terminal Use)

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

38%vs66.4%

SciCode (Scientific Computing)

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

52.4%vs58.7%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

76.5%vs83.1%

AIME (Advanced Math Competition)

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

91.2%vs95.4%

Long-Context Reasoning

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

89.5%vs92.6%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

110 tok/s vs78 tok/s

지연 시간(Latency) 및 응답 속도

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

Grok 4.70.62s

Claude Opus 5.51.40s

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

Grok 4.75.17s

Claude Opus 5.57.81s

실시간 API 토큰 비용 시뮬레이터

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)

Grok 4.7 Monthly API Bill

$9.15 / month

$2/1M in · $6/1M out

Claude Opus 5.5 Monthly API Bill

$24.60 / month

$4/1M in · $20/1M out

Grok 4.7 saves approximately $15.45 / month (63%) under this workload.2.7x Savings

Grok 4.7 · Strengths & Key Advantages

500K 컨텍스트 윈도우 및 최대 66K 출력 토큰 생성 지원 (SWE-bench Verified 77.2% · GPQA Diamond 78.5%)
초당 110 토큰의 빠른 처리 속도와 620ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $2 / 출력 $6)와 프롬프트 캐싱, 함수 호출 및 정형화된 JSON 출력 완벽 지원

Considerations & Trade-offs

독점 클라우드 전용 모델로 로컬 오프라인 서버에 가중치를 다운로드하여 실행할 수 없습니다
대규모 프로덕션 호출 환경에서는 비용 절감을 위해 프롬프트 캐싱과 배치 API(Batch API) 활용이 권장됩니다

Claude Opus 5.5 · Strengths & Key Advantages

1M 컨텍스트 윈도우 및 최대 128K 출력 토큰 생성 지원 (SWE-bench Verified 84.6% · GPQA Diamond 82.3%)
초당 78 토큰의 빠른 처리 속도와 1400ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $4 / 출력 $20)와 프롬프트 캐싱, 함수 호출 및 정형화된 JSON 출력 완벽 지원

Considerations & Trade-offs

독점 클라우드 전용 모델로 로컬 오프라인 서버에 가중치를 다운로드하여 실행할 수 없습니다
대규모 프로덕션 호출 환경에서는 비용 절감을 위해 프롬프트 캐싱과 배치 API(Batch API) 활용이 권장됩니다

Token Use & Task Economics

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

Metric	Grok 4.7	Claude Opus 5.5
Cost per Task Estimated USD to finish one task	$0.68	$3.85
Output Tokens / Task Tokens generated per task	46K	68K
Reasoning Tokens / Task Thinking tokens burned per task	23K	42K

기술 사양 (Specifications)

Architecture, release timeline, capabilities, and modalities.

Feature	Grok 4.7	Claude Opus 5.5
Official API Model ID (SDK)	grok-4-7-latest	claude-opus-5-5-20260901
API Protocol	xAI REST API (OpenAI-Compatible)	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2026-09	2026-09
Knowledge Cutoff	April 2026	June 2026
Architecture	2.1T Multimodal Sparse MoE	Extended Autonomous Hybrid Reasoning Transformer
Parameters	2.1T (MoE)	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 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 ($2/1M in) across full 500K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Cached input at $0.5/1M tokens	$0.4/1M cached read (90% off); 5-min default & 1-hour extended TTL
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	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	Real-time Web & X (Twitter) Search Grounding + Code Execution	Native Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	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	xAI Production Safety & Alignment 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	text, vision
Output Modalities	text	text

Grok 4.7 vs Claude Opus 5.5: 핵심 요약 문답 (FAQ)

Which is more intelligent, Grok 4.7 or Claude Opus 5.5?

Claude Opus 5.5 is more intelligent. It scores 94 compared with 46 on the composite Intelligence Index.

Which model is faster?

Grok 4.7 is faster, generating 110 tokens per second compared with 78 tokens per second.

Which model is cheaper to run?

Grok 4.7 is cheaper at $1.35 per 1M tokens blended, compared with $3.08 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok 4.7 has lower latency, with a time to first token of 0.62s compared with 1.40s.

Which model has a larger context window?

Claude Opus 5.5 has a larger context window, supporting 1M tokens compared with 500K tokens.

종합 평가

Grok 4.7(최첨단 엔터프라이즈 추론, 소프트웨어 개발 및 핵심 프로덕션 워크로드, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.)와 Claude Opus 5.5(최첨단 엔터프라이즈 추론, 소프트웨어 개발 및 핵심 프로덕션 워크로드, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.) 모두 뛰어난 성능을 자랑합니다. 고난도 추론과 코딩 벤치마크에서는 Claude Opus 5.5가 앞서며, 토큰 생성 속도에서는 Grok 4.7가 빠르고, 대규모 API 운영 비용 면에서는 Grok 4.7가 더 경제적입니다.

자주 묻는 질문 (FAQ)

코딩과 복잡한 추론에는 Grok 4.7와 Claude Opus 5.5 중 어느 모델이 더 나은가요?+

종합 지능 지수 및 코딩 벤치마크에서는 Claude Opus 5.5가 우위를 보입니다. 상단의 SWE-bench 및 GPQA 점수를 함께 확인해 보세요.

Grok 4.7와 Claude Opus 5.5의 API 요금 차이는 얼마인가요?+

Grok 4.7는 100만 토큰당 입력 $2.00 / 출력 $6.00이며, Claude Opus 5.5는 입력 $4.00 / 출력 $20.00입니다. 혼합 비용 기준으로는 Grok 4.7가 더 저렴합니다.

어느 모델이 더 큰 컨텍스트 윈도우와 빠른 속도를 제공하나요?+

컨텍스트 길이는 Grok 4.7가 500K 토큰, Claude Opus 5.5가 1M 토큰를 지원하며, 출력 속도 면에서는 Grok 4.7가 더 빠릅니다.

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)

Grok 4.7 vs Claude Opus 5.5

원하는 AI 모델 선택 및 실시간 비교

Grok 4.7

Claude Opus 5.5

부문별 우위 모델

검증된 벤치마크 점수 비교

지연 시간(Latency) 및 응답 속도

실시간 API 토큰 비용 시뮬레이터

Grok 4.7 · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 5.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

기술 사양 (Specifications)

Grok 4.7 vs Claude Opus 5.5: 핵심 요약 문답 (FAQ)

종합 평가

자주 묻는 질문 (FAQ)

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