Head-to-Head Model Comparison

Claude Sonnet 4 vs Claude 3.7 Sonnet

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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Claude Sonnet 4Profile

Claude 3.7 SonnetProfile

Multi-Model Arena Stack:

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Popular Matchups:

Anthropic

Claude Sonnet 4

자율 에이전트 및 도구 호출 특화

Anthropic의 Claude Sonnet 4 모델은 자율 에이전트 워크플로우, 도구 호출(Tool Calling) 및 다단계 업무 자동화에 최적화된 AI 모델로, 200K 컨텍스트 윈도우, 초당 85 토큰의 생성 속도, 종합 지능 지수 58/100점(1M 토큰당 입력 $3 / 출력 $15)을 제공합니다.

Intelligence Index58 / 100

Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

72.7%

Anthropic

Claude 3.7 Sonnet

최고 수준의 코딩 및 소프트웨어 개발

Anthropic의 Claude 3.7 Sonnet 모델은 자율 소프트웨어 엔지니어링, 다중 파일 리팩토링 및 고난도 디버깅에 최적화된 AI 모델로, 200K 컨텍스트 윈도우, 초당 72 토큰의 생성 속도, 종합 지능 지수 48/100점(1M 토큰당 입력 $3 / 출력 $15)을 제공합니다.

Intelligence Index48 / 100

Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

70.3%

한눈에 보는 핵심 차이점

Both models cost the same under this workload — choose on capability, not price.
Claude Sonnet 4 is faster at 85 tok/s vs 72 tok/s.
Claude Sonnet 4 leads on SWE-bench coding (72.7% vs 70.3%).

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

Feature	Claude Sonnet 4	Claude 3.7 Sonnet
Intelligence Index Composite reasoning & knowledge score (0-100)	58	48
Provider	Anthropic	Anthropic
Input Price Cost per million input tokens	$3.00 / 1M	$3.00 / 1M
Output Price Cost per million output tokens	$15.00 / 1M	$15.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$2.31 / 1M	$2.31 / 1M
Context Window Maximum input + output tokens	200K tokens~300 A4 pages of text	200K tokens~300 A4 pages of text
Max Output Tokens Per single request	64K	64K
Throughput Speed Tokens generated per second	85 tok/s	72 tok/s
SWE-bench Verified Real-world software engineering	72.7%	70.3%
GPQA Diamond Graduate-level reasoning	71.2%	65%
Cached Input Price Prompt caching discount per 1M tokens	$0.30 / 1M	$0.30 / 1M

부문별 우위 모델

At-a-glance decision framework

Coding

Claude Sonnet 4

+2.4% SWE-bench lead

Cost

Tied

Identical monthly runtime cost

Speed

Claude Sonnet 4

+18% faster generation

Context

Tied

200K tokens window

검증된 벤치마크 점수 비교

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

Claude Sonnet 4Claude 3.7 Sonnet

SWE-bench Verified (Autonomous Coding)

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

72.7%vs70.3%

GPQA Diamond (Doctorate-Level Science & Math)

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

71.2%vs65%

MMLU-Pro (Multi-task Language Understanding)

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

84.5%vs78.2%

LMSYS Chatbot Arena Elo

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

1362ptsvs1335pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs8.9%

Terminal-Bench (Agentic Coding & Terminal Use)

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

42.1%vs35.2%

SciCode (Scientific Computing)

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

N/Avs40.1%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs64.8%

AIME (Advanced Math Competition)

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

N/Avs61.3%

Long-Context Reasoning

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

N/Avs71.5%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs72 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

Claude Sonnet 40.52s

Claude 3.7 Sonnet0.52s

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

Claude Sonnet 46.40s

Claude 3.7 Sonnet7.46s

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)

Claude Sonnet 4 Monthly API Bill

$18.45 / month

$3/1M in · $15/1M out

Claude 3.7 Sonnet Monthly API Bill

$18.45 / month

$3/1M in · $15/1M out

These models cost the same under this workload — no savings either way.Break-even

Claude Sonnet 4 · Strengths & Key Advantages

200K 컨텍스트 윈도우 및 최대 64K 출력 토큰 생성 지원 (SWE-bench Verified 72.7% · GPQA Diamond 71.2%)
초당 85 토큰의 빠른 처리 속도와 520ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $3 / 출력 $15)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 3.7 Sonnet · Strengths & Key Advantages

200K 컨텍스트 윈도우 및 최대 64K 출력 토큰 생성 지원 (SWE-bench Verified 70.3% · GPQA Diamond 65%)
초당 72 토큰의 빠른 처리 속도와 520ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $3 / 출력 $15)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	Claude Sonnet 4	Claude 3.7 Sonnet
Cost per Task Estimated USD to finish one task	$3.29	$1.42
Output Tokens / Task Tokens generated per task	72K	41K
Reasoning Tokens / Task Thinking tokens burned per task	37K	22K

기술 사양 (Specifications)

Architecture, release timeline, capabilities, and modalities.

Claude Sonnet 4 vs Claude 3.7 Sonnet: 핵심 요약 문답 (FAQ)

Which is more intelligent, Claude Sonnet 4 or Claude 3.7 Sonnet?

Claude Sonnet 4 is more intelligent. It scores 58 compared with 48 on the composite Intelligence Index.

Which model is faster?

Claude Sonnet 4 is faster, generating 85 tokens per second compared with 72 tokens per second.

종합 평가

Claude Sonnet 4(자율 에이전트 워크플로우, 도구 호출(Tool Calling) 및 다단계 업무 자동화, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.)와 Claude 3.7 Sonnet(자율 소프트웨어 엔지니어링, 다중 파일 리팩토링 및 고난도 디버깅, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.) 모두 뛰어난 성능을 자랑합니다. 고난도 추론과 코딩 벤치마크에서는 Claude Sonnet 4가 앞서며, 토큰 생성 속도에서는 Claude Sonnet 4가 빠르고, 대규모 API 운영 비용 면에서는 Claude Sonnet 4가 더 경제적입니다.

자주 묻는 질문 (FAQ)

코딩과 복잡한 추론에는 Claude Sonnet 4와 Claude 3.7 Sonnet 중 어느 모델이 더 나은가요?+

종합 지능 지수 및 코딩 벤치마크에서는 Claude Sonnet 4가 우위를 보입니다. 상단의 SWE-bench 및 GPQA 점수를 함께 확인해 보세요.

Claude Sonnet 4와 Claude 3.7 Sonnet의 API 요금 차이는 얼마인가요?+

Claude Sonnet 4는 100만 토큰당 입력 $3.00 / 출력 $15.00이며, Claude 3.7 Sonnet는 입력 $3.00 / 출력 $15.00입니다. 혼합 비용 기준으로는 Claude Sonnet 4가 더 저렴합니다.

어느 모델이 더 큰 컨텍스트 윈도우와 빠른 속도를 제공하나요?+

컨텍스트 길이는 Claude Sonnet 4가 200K 토큰, Claude 3.7 Sonnet가 200K 토큰를 지원하며, 출력 속도 면에서는 Claude Sonnet 4가 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)

Feature	Claude Sonnet 4	Claude 3.7 Sonnet
Official API Model ID (SDK)	claude-sonnet-4-20250501	claude-3-7-sonnet-20250201
API Protocol	Anthropic Messages API + AWS Bedrock + Vertex AI	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2025-05	2025-02
Knowledge Cutoff	March 2025	November 2024
Architecture	Hybrid Multimodal Reasoning Transformer	Hybrid Reasoning MoE
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 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	$0.3/1M cached read (90% off); 5-min default & 1-hour extended TTL	$0.3/1M 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	Native Web Search Citations + Code Execution Tool + MCP Connectors	Native Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	Custom Model Tuning via Amazon Bedrock & Prompt 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	Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated	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

Claude Sonnet 4 vs Claude 3.7 Sonnet

원하는 AI 모델 선택 및 실시간 비교

Claude Sonnet 4

Claude 3.7 Sonnet

부문별 우위 모델

검증된 벤치마크 점수 비교

지연 시간(Latency) 및 응답 속도

실시간 API 토큰 비용 시뮬레이터

Claude Sonnet 4 · Strengths & Key Advantages

Considerations & Trade-offs

Claude 3.7 Sonnet · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

기술 사양 (Specifications)

Claude Sonnet 4 vs Claude 3.7 Sonnet: 핵심 요약 문답 (FAQ)

종합 평가

자주 묻는 질문 (FAQ)

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