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Claude Opus 4.7 (Adaptive Reasoning, Max Effort)

AnthropicClaudeProprietary

설명

Claude Opus 4.7 is Anthropic's latest Opus-class model, a direct upgrade to Opus 4.6 with notable improvements in advanced software engineering, particularly on the most difficult tasks. It handles complex, long-running agentic workflows with rigor and consistency, follows instructions more literally and precisely, and verifies its own outputs before reporting back. Substantially improved vision supports high-resolution images up to 2,576 pixels on the long edge (~3.75 megapixels, over 3x prior Claude models), unlocking dense screenshot reading, complex diagram extraction, and pixel-perfect references. Better file system-based memory enables coherent multi-session work. Introduces a new 'xhigh' effort level between 'high' and 'max' for finer control over the reasoning/latency tradeoff, and ships with task budgets (public beta) on the Claude Platform. Uses an updated tokenizer (inputs may map to ~1.0-1.35x more tokens than Opus 4.6). Released with automated safeguards that detect and block prohibited or high-risk cybersecurity uses. Available across Claude products, the Claude API, Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Foundry. Pricing: $5/$25 per million tokens (input/output), unchanged from Opus 4.6.

출시일
2026-04-16
파라미터
컨텍스트 길이
1.0M
모달리티
image, pdf, text

능력 레이더

52
general
71
coding
91
reasoning
69
science
70
agents
80
multimodal

랭킹

도메인#순위점수소스
에이전트형 역량12
64.0
LS
코딩 랭킹29
89.0
AA
종합 랭킹35
82.0
AA
멀티모달 랭킹10
64.0
LS
과학22
88.0
AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Agents

BrowseCompOpenAI (2025)79.3%자체 보고
OSWorld-Verified78.0%자체 보고
MCP Atlas77.3%자체 보고
CyberGym73.1%자체 보고
Terminal-Bench 2.0Stanford × Laude Institute (2026)69.4%자체 보고
Finance Agent64.4%자체 보고
SWE-Bench ProPrinceton NLP (2024)64.3%자체 보고
FrontierSWE63.0%
Finance Agent v251.5%
FrontierCode 1.138.5%
Legal Agent Benchmark7.1%

Biology

GPQANYU + Cohere + Anthropic (2023)94.2%자체 보고

Code

SWE-Bench Verified87.6%자체 보고

General

MMMLU91.5%자체 보고
LiveBench76.9%

Math

Humanity's Last Exam54.7%자체 보고

Multimodal

CharXiv-R91.0%자체 보고

AA 평가 지수

(Artificial Analysis)
Coding Index(Artificial Analysis)
73.6
Intelligence Index(Artificial Analysis)
55.0
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.9
Terminalbench V2 1
0.8
Lcr(Artificial Analysis)
0.8
Ifbench(Google Research (2023))
0.6
Scicode(UIUC + Argonne National Lab (2024))
0.5
Terminalbench Hard(Stanford × Laude Institute (2026))
0.5
Hle(Center for AI Safety + Scale AI (2025))
0.4
Tau Banking
0.3

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))
Language
90
Physics
90
Frontend Development
90
Biology
90
Chemistry
90
Multimodal
80
Search
80
Long Context
70
Math
70
Reasoning
70
Safety
70
General
70
Code
70
Tool Calling
70
Vision
70
Finance
60
Agents
60
Healthcare
30
Legal
10

가격

입력 가격$5 / 1M 토큰
출력 가격$25 / 1M 토큰
혼합 가격 (3:1)$10 / 1M 토큰
캐시 읽기 가격$0.5 / 1M 토큰
캐시 쓰기 가격$6.25 / 1M 토큰

속도

토큰/초0.0
첫 토큰 지연0.00s
첫 응답 지연0.00s

공급자 가격 순위

공급자 가격 순위

1개 공급자

공급자입력출력
1Anthropic
$0.00001
$0.00003

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