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Claude Opus 4.7 (Adaptive Reasoning, Max Effort)

AnthropicClaudeProprietary

描述

Claude Opus 4.7 is Anthropic's latest Opus-class model, a direct upgrade to Opus 4.6 with notable improvements in advanced software engineering, particularly on the most difficult tasks. It handles complex, long-running agentic workflows with rigor and consistency, follows instructions more literally and precisely, and verifies its own outputs before reporting back. Substantially improved vision supports high-resolution images up to 2,576 pixels on the long edge (~3.75 megapixels, over 3x prior Claude models), unlocking dense screenshot reading, complex diagram extraction, and pixel-perfect references. Better file system-based memory enables coherent multi-session work. Introduces a new 'xhigh' effort level between 'high' and 'max' for finer control over the reasoning/latency tradeoff, and ships with task budgets (public beta) on the Claude Platform. Uses an updated tokenizer (inputs may map to ~1.0-1.35x more tokens than Opus 4.6). Released with automated safeguards that detect and block prohibited or high-risk cybersecurity uses. Available across Claude products, the Claude API, Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Foundry. Pricing: $5/$25 per million tokens (input/output), unchanged from Opus 4.6.

发布日期
2026-04-16
参数规模
上下文长度
1.0M
支持模态
image, pdf, text

能力雷达图

52
general
71
coding
91
reasoning
69
science
70
agents
80
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜12
64.0
LS
代码能力榜32
89.0
AA
通用能力榜37
82.0
AA
数学推理8
93.0
LB
多模态榜11
64.0
LS
推理能力14
87.0
LB
科学能力24
88.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

BrowseCompOpenAI (2025)79.3%自报
OSWorld-Verified78.0%自报
MCP Atlas77.3%自报
CyberGym73.1%自报
Terminal-Bench 2.0Stanford × Laude Institute (2026)69.4%自报
Finance Agent64.4%自报
SWE-Bench ProPrinceton NLP (2024)64.3%自报
FrontierSWE63.0%
Finance Agent v251.5%
FrontierCode 1.138.5%
Legal Agent Benchmark7.1%

Biology

GPQANYU + Cohere + Anthropic (2023)94.2%自报

Code

SWE-Bench Verified87.6%自报

General

MMMLU91.5%自报
LiveBench76.9%

Math

Humanity's Last Exam54.7%自报

Multimodal

CharXiv-R91.0%自报

AA 评测指数

(Artificial Analysis)
Coding Index(Artificial Analysis)
73.6
Intelligence Index(Artificial Analysis)
55.0
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.9
Terminalbench V2 1
0.8
Lcr(Artificial Analysis)
0.8
Ifbench(Google Research (2023))
0.6
Scicode(UIUC + Argonne National Lab (2024))
0.5
Terminalbench Hard(Stanford × Laude Institute (2026))
0.5
Hle(Center for AI Safety + Scale AI (2025))
0.4
Tau Banking
0.3

LLM Stats 分类评分

(LLM Stats (zeroeval))
Physics
90
Language
90
Frontend Development
90
Biology
90
Chemistry
90
Multimodal
80
Search
80
Long Context
70
Math
70
Reasoning
70
Safety
70
General
70
Code
70
Tool Calling
70
Vision
70
Finance
60
Agents
60
Healthcare
30
Legal
10

定价

输入价格$5 / 1M tokens
输出价格$25 / 1M tokens
混合价格(3:1)$10 / 1M tokens
缓存读取价格$0.5 / 1M tokens
缓存写入价格$6.25 / 1M tokens

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

13 个供应商

最便宜: Anthropic最贵: Venice AI
供应商输入输出
1Anthropic最便宜
$0.00001
$0.00003
2302.AI
$5
$25
3Abacus
$5
$25
4OpenCode Zen
$5
$25
5FrogBot
$5
$25
6AIHubMix
$5
$25
7Requesty
$5
$25
8LLM Gateway
$5
$25
9Auriko
$5
$25
10FreeModel
$5
$25
11Neon
$5
$25
12Pioneer
$5
$25
13Venice AI
$6
$30

比较该模型在不同 API 供应商之间的定价。

外部链接