跳轉到主要內容
AITier

Claude Sonnet 4.6 (Non-reasoning, High Effort)

AnthropicClaudeProprietary

描述

Claude Sonnet 4.6 is a full upgrade of the model's skills across coding, computer use, long-context reasoning, agent planning, knowledge work, and design. Users preferred Sonnet 4.6 over Sonnet 4.5 approximately 70% of the time. First Sonnet-class model with 1M token context window (beta) and context compaction. Major improvement in computer use skills compared to prior Sonnet models. Default model on Free and Pro plans. Pricing: $3/$15 per million tokens (input/output).

發布日期
2026-02-17
參數規模
—
上下文長度
1.0M
支援模態
audio, image, pdf, text, video

能力雷達圖

32
general
47
coding
80
reasoning
55
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39
53.0
LS
程式碼能力榜100
73.0
AA
通用能力榜176
59.0
AA
科學能力161
61.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

BrowseCompOpenAI (2025)74.7%自報
OSWorld72.5%自報
Finance Agent63.3%自報
MCP Atlas61.3%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)59.1%自報
Finance Agent v251.0%
DeepSWE 1.130.0%
Legal Agent Benchmark5.4%

Biology

GPQANYU + Cohere + Anthropic (2023)89.9%自報

Code

SWE-Bench Verified79.6%自報

Communication

Tau2 Telecom97.9%自報
Tau2 Retail91.7%自報

General

MMMLU89.3%自報
MMMU-Pro75.6%自報
LiveBench75.5%

Math

Humanity's Last Exam49.0%自報

Reasoning

ARC-AGI v258.3%自報

AA 評測指數

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
36.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.8
Lcr(Artificial Analysis)
0.6
Scicode(UIUC + Argonne National Lab (2024))
0.5
Terminalbench Hard(Stanford × Laude Institute (2026))
0.5
Ifbench(Google Research (2023))
0.4
Hle(Center for AI Safety + Scale AI (2025))
0.1

LLM Stats 分類評分

(LLM Stats (zeroeval))
Physics
90
Language
90
Biology
90
Chemistry
90
Communication
90
Frontend Development
80
Tool Calling
80
Math
70
Multimodal
70
Search
70
Reasoning
60
Spatial Reasoning
60
Finance
60
General
60
Code
60
Vision
60
Agents
50
Long Context
40
Healthcare
20
Legal
10

定價

輸入價格$3 / 1M tokens
輸出價格$15 / 1M tokens
混合價格(3:1)$6 / 1M tokens
快取讀取價格$0.3 / 1M tokens
快取寫入價格$3.75 / 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
$0.00002

比較該模型在不同 API 供應商之間的定價。

外部連結

LLM StatsArtificial Analysis