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Claude Opus 4.7 (Adaptive Reasoning, Max Effort)

AnthropicClaudeProprietary

説明

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.

リリース日
2026-04-16
パラメータ
—
コンテキスト長
1.0M
モダリティ
image, pdf, text

能力レーダー

41
general
74
coding
91
reasoning
76
science
70
agents
80
multimodal

ランキング

ベンチマークスコア (LLM Stats)

(LLM Stats (zeroeval))

Agents

Finance Agent64.4%自己申告
Finance Agent v251.5%

Code

CyberGym73.1%自己申告
FrontierSWE63.0%

Language

MMMLU91.5%自己申告

Legal

Legal Agent Benchmark7.1%

Math

LiveBench76.9%

Multimodal

OSWorld-Verified78.0%自己申告

Reasoning

GPQANYU + Cohere + Anthropic (2023)94.2%自己申告
CharXiv-R91.0%自己申告
SWE-Bench Verified87.6%自己申告
BrowseCompOpenAI (2025)79.3%自己申告
MCP Atlas77.3%自己申告
Terminal-Bench 2.0Stanford × Laude Institute (2026)69.4%自己申告
SWE-Bench ProPrinceton NLP (2024)64.3%自己申告
Humanity's Last Exam54.7%自己申告
FrontierCode 1.138.5%

AA評価指数

(Artificial Analysis)
Gpqa(NYU + Cohere + Anthropic (2023))
91.4
Tau2(Sierra + U Toronto + Vector Institute (2025))
88.6
Terminalbench V2 1
83.1
Lcr(Artificial Analysis)
78.7
Coding Index(Artificial Analysis)
73.6
Ifbench(Google Research (2023))
58.6
Terminalbench Hard(Stanford × Laude Institute (2026))
51.5
Hle(Center for AI Safety + Scale AI (2025))
42.3
Intelligence Index(Artificial Analysis)
40.7
Tau Banking
34.6

LLM Statsカテゴリスコア

(LLM Stats (zeroeval))
Language
90
Physics
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

価格設定

入力価格$5 / 1Mトークン
出力価格$25 / 1Mトークン
混合価格(3:1)$10 / 1Mトークン
キャッシュ読み取り価格$0.5 / 1Mトークン
キャッシュ書き込み価格$6.25 / 1Mトークン

速度

トークン/秒0.0
初トークン遅延0.00s
初回答遅延0.00s

プロバイダー価格ランキング

プロバイダー価格ランキング

2 プロバイダー

最安: Anthropic最高: DeepInfra
プロバイダー入力出力
1Anthropic最安
$0.00001
$0.00003
2DeepInfra
$0.00001
$0.00003

このモデルの異なるAPIプロバイダー間の価格を比較。

外部リンク