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Claude Opus 4.6 (Non-reasoning, High Effort)

AnthropicClaudeProprietary

描述

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).

發布日期
2026-02-05
參數規模
上下文長度
1.0M
支援模態
image, pdf, text

能力雷達圖

35
general
46
coding
84
reasoning
58
science
80
agents
80
multimodal

排行榜排名

領域#排名分數來源
智慧體能力模型榜25
57.0
LS
程式碼能力榜83
75.0
AA
通用能力榜139
64.0
AA
多模態榜46
46.0
LS
科學能力125
65.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Vending-Bench 2801759.0%自報
DeepSearchQA91.3%自報
BrowseCompOpenAI (2025)84.0%自報
CyberGym73.8%自報
OSWorld72.7%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)65.4%自報
MCP Atlas62.7%自報
Finance Agent60.7%自報
FrontierSWE56.0%
OpenRCA34.9%自報
Legal Agent Benchmark4.2%

Biology

GPQANYU + Cohere + Anthropic (2023)91.3%自報

Code

SWE-Bench Verified80.8%自報
SWE-bench Multilingual77.8%自報

Communication

Tau2 Telecom99.3%自報
Tau2 Retail91.9%自報

General

MMMLU91.1%自報
MMMU-Pro77.3%自報
LiveBench76.3%
MRCR v2 (8-needle)76.0%自報

Healthcare

FigQA78.3%自報

Long Context

Graphwalks parents >128k95.4%自報
Graphwalks BFS >128k61.5%自報

Math

AIME 202599.8%自報
Humanity's Last Exam53.1%自報

Multimodal

CharXiv-R77.4%自報

Reasoning

ARC-AGI v268.8%自報

AA 評測指數

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
38.8
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Lcr(Artificial Analysis)
0.6
Terminalbench Hard(Stanford × Laude Institute (2026))
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.5
Ifbench(Google Research (2023))
0.4
Hle(Center for AI Safety + Scale AI (2025))
0.2

LLM Stats 分類評分

(LLM Stats (zeroeval))
Agents
100
Reasoning
100
General
100
Communication
100
Physics
90
Search
90
Language
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

定價

輸入價格$5 / 1M tokens
輸出價格$25 / 1M tokens
混合價格(3:1)$10 / 1M tokens
快取讀取價格$0.5 / 1M tokens
快取寫入價格$6.25 / 1M tokens

速度

Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s

供應商價格排行

供應商價格排行

1 個供應商

供應商輸入輸出
1Anthropic
$0.00001
$0.00003

比較該模型在不同 API 供應商之間的定價。

外部連結