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
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
Vending-Bench 2
801759.0%自報
DeepSearchQA
91.3%自報
BrowseCompOpenAI (2025)
84.0%自報
CyberGym
73.8%自報
OSWorld
72.7%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)
65.4%自報
MCP Atlas
62.7%自報
Finance Agent
60.7%自報
FrontierSWE
56.0%
OpenRCA
34.9%自報
Legal Agent Benchmark
4.2%
Biology
GPQANYU + Cohere + Anthropic (2023)
91.3%自報
Code
SWE-Bench Verified
80.8%自報
SWE-bench Multilingual
77.8%自報
Communication
Tau2 Telecom
99.3%自報
Tau2 Retail
91.9%自報
General
MMMLU
91.1%自報
MMMU-Pro
77.3%自報
LiveBench
76.3%
MRCR v2 (8-needle)
76.0%自報
Healthcare
FigQA
78.3%自報
Long Context
Graphwalks parents >128k
95.4%自報
Graphwalks BFS >128k
61.5%自報
Math
AIME 2025
99.8%自報
Humanity's Last Exam
53.1%自報
Multimodal
CharXiv-R
77.4%自報
Reasoning
ARC-AGI v2
68.8%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))Agents100
Reasoning100
General100
Communication100
Physics90
Search90
Language90
Biology90
Chemistry90
Long Context80
Math80
Multimodal80
Safety80
Spatial Reasoning80
Frontend Development80
Healthcare80
Tool Calling80
Code70
Vision70
Finance60
Legal0
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。