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Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)

AnthropicClaudeProprietary

설명

Claude Opus 5.5 is the first model in Anthropic's Claude 5.5 family. It performs at Claude Fable 5.1 level on most work at about 40% lower cost than Claude Opus 5, and targets long-running agentic coding and knowledge work. It accepts text and image input with text output, supports multilingual and vision workloads, tool use, and adaptive thinking that is always on (API default effort medium). Context window is 1M tokens with 128K max output on the sync Messages API; reliable knowledge and training-data cutoffs are June 2026. First-party pricing is $4/$20 per million input/output tokens, with cache reads at $0.20 and 5-minute cache writes at $5 per million tokens. Fast mode is available in Claude Code and on the Claude Platform at $8/$40 per million input/output tokens with up to 2.5x speed (same model id; not a separate deployment). Capability scores are self-reported from the Claude Opus 5.5 System Card (Table 8.1.A and §8) and the launch announcement. Available on the Claude API as `claude-opus-5-5`.

출시일
2026-09-22
파라미터
—
컨텍스트 길이
1.0M
모달리티
image, pdf, text

능력 레이더

58
general
67
coding
70
reasoning
65
science
60
agents
80
multimodal

랭킹

도메인#순위점수소스
에이전트형 역량5
68.0
LS
코딩 랭킹9
95.0
AA
종합 랭킹1
100.0
AA
멀티모달 랭킹13
65.0
LS
과학1
100.0
AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Agents

AA-Briefcase v1.11822.00 / 3000자체 보고
Program Bench91.2%자체 보고
OfficeQA78.9%자체 보고
Toolathlon-Verified77.8%자체 보고
OfficeQA Pro67.7%자체 보고
AutomationBench40.0%자체 보고

Biology

BioMysteryBench89.3%자체 보고
LatchBio SpatialBench Verified72.0%자체 보고

Code

BenchCAD (with Python tool)96.2%자체 보고
DeepSWE 1.174.2%자체 보고
BenchCAD73.0%자체 보고
FrontierSWE V262.3%자체 보고
CursorBench 4.057.8%자체 보고

General

GDPval-AA 2.11846.00 / 3000자체 보고
Global-MMLU94.3%자체 보고

Healthcare

HealthBench Professional65.6%자체 보고
HealthBench60.6%자체 보고

Language

MILU93.1%자체 보고

Legal

Legal Agent Benchmark8.3%자체 보고

Math

ArXivMath91.2%자체 보고

Multimodal

OSWorld 2.081.8%자체 보고

Reasoning

SWE-bench Multilingual93.9%자체 보고
SWE-Bench ProPrinceton NLP (2024)89.9%자체 보고
Humanity's Last Exam (with tools, text-only)67.7%자체 보고
Terminal-Bench 4.066.4%자체 보고
Humanity's Last Exam (no tools, text-only)64.4%자체 보고
SWE-Bench Multimodal61.4%자체 보고
Terminal-Bench-Science 0.158.7%자체 보고
FrontierCode 1.154.4%자체 보고

Science

LatchBio SingleCellBench61.2%자체 보고

Vision

Chartography89.0%자체 보고

AA 평가 지수

(Artificial Analysis)
Lcr(Artificial Analysis)
84.7
Scicode(UIUC + Argonne National Lab (2024))
66.9
Hle(Center for AI Safety + Scale AI (2025))
61.4
Intelligence Index(Artificial Analysis)
57.6

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))
Productivity
100
Agents
100
Reasoning
100
General
100
Language
90
Science
90
Biology
90
Multimodal
80
Vision
80
Math
70
Code
70
Healthcare
60
Tool Calling
60
Legal
10

가격

입력 가격$4 / 1M 토큰
출력 가격$20 / 1M 토큰
혼합 가격 (3:1)$8 / 1M 토큰
캐시 읽기 가격$0.2 / 1M 토큰
캐시 쓰기 가격$5 / 1M 토큰

속도

토큰/초95.9
첫 토큰 지연477.23s
첫 응답 지연477.23s

공급자 가격 순위

공급자 가격 순위

1개 공급자

공급자입력출력
1Anthropic
$0
$0.00002

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