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Claude Opus 4.6 (Non-reasoning, High Effort)

AnthropicClaudeProprietary

설명

Claude Opus 4.6 is Anthropic's most intelligent model, improving on its predecessor's coding skills with more careful planning, longer agentic task sustenance, more reliable operation in larger codebases, and better code review and debugging skills. First Opus-class model with 1M token context window (beta), 128K output tokens, and adaptive thinking. Features effort controls (low/medium/high/max) and context compaction for long-running tasks. State-of-the-art on Terminal-Bench 2.0, Humanity's Last Exam, GDPval-AA, and BrowseComp. Pricing: $5/$25 per million tokens (input/output).

출시일
2026-02-05
파라미터
—
컨텍스트 길이
1.0M
모달리티
image, pdf, text

능력 레이더

25
general
70
coding
84
reasoning
64
science
80
agents
80
multimodal

랭킹

도메인#순위점수소스
에이전트형 역량25
57.0
LS
코딩 랭킹142
75.0
AA
종합 랭킹187
55.0
AA
멀티모달 랭킹25
61.0
LS
과학202
58.0
AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Finance Agent60.7%자체 보고

Code

CyberGym73.8%자체 보고
FrontierSWE56.0%
OpenRCA34.9%자체 보고

Communication

Tau2 Telecom99.3%자체 보고
Tau2 Retail91.9%자체 보고

Language

MMMLU91.1%자체 보고

Legal

Legal Agent Benchmark4.2%

Long Context

MRCR v2 (8-needle)76.0%자체 보고

Math

AIME 202599.8%자체 보고
LiveBench76.3%

Multimodal

OSWorld72.7%자체 보고

Reasoning

Vending-Bench 2801759.0%자체 보고
Graphwalks parents >128k95.4%자체 보고
GPQANYU + Cohere + Anthropic (2023)91.3%자체 보고
BrowseCompOpenAI (2025)84.0%자체 보고
SWE-Bench Verified80.8%자체 보고
SWE-bench Multilingual77.8%자체 보고
CharXiv-R77.4%자체 보고
ARC-AGI v268.8%자체 보고
Terminal-Bench 2.0Stanford × Laude Institute (2026)65.4%자체 보고
MCP Atlas62.7%자체 보고
Graphwalks BFS >128k61.5%자체 보고
Humanity's Last Exam53.1%자체 보고

Safety

FigQA78.3%자체 보고

Search

DeepSearchQA91.3%자체 보고

Vision

MMMU-Pro77.3%자체 보고

AA 평가 지수

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
84.8
Gpqa(NYU + Cohere + Anthropic (2023))
84.0
Lcr(Artificial Analysis)
67.0
Terminalbench Hard(Stanford × Laude Institute (2026))
48.5
Ifbench(Google Research (2023))
44.6
Intelligence Index(Artificial Analysis)
26.4
Hle(Center for AI Safety + Scale AI (2025))
19.1

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))
Agents
100
Reasoning
100
General
100
Communication
100
Language
90
Physics
90
Search
90
Biology
90
Chemistry
90
Long Context
80
Math
80
Multimodal
80
Safety
80
Spatial Reasoning
80
Frontend Development
80
Healthcare
80
Tool Calling
80
Code
70
Vision
70
Finance
60
Legal
0

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

16개 공급자

최저가: Anthropic최고가: Venice AI
공급자입력출력
1Anthropic최저가
$0.00001
$0.00003
2Abacus
$5
$25
3Jiekou.AI
$5
$25
4OpenCode Zen
$5
$25
5FrogBot
$5
$25
6AIHubMix
$5
$25
7Azure Cognitive Services
$5
$25
8Requesty
$5
$25
9DevPass (LLM Gateway)
$5
$25
10Azure
$5
$25
11Auriko
$5
$25
12FreeModel
$5
$25
13Neon
$5
$25
14Pioneer
$5
$25
15Opper
$5
$25
16Venice AI
$6
$30

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