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Claude Opus 4.7 (Adaptive Reasoning, Max Effort)

AnthropicClaudeProprietary

विवरण

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.

रिलीज़ तिथि
2026-04-16
पैरामीटर
संदर्भ लंबाई
1.0M
मोडैलिटीज़
image, pdf, text

क्षमता रडार

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

रैंकिंग

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

GPQANYU + Cohere + Anthropic (2023)94.2%स्वयं

Code

SWE-Bench Verified87.6%स्वयं

General

MMMLU91.5%स्वयं
LiveBench76.9%

Math

Humanity's Last Exam54.7%स्वयं

Multimodal

CharXiv-R91.0%स्वयं

AA मूल्यांकन सूचकांक

(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 श्रेणी स्कोर

(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

मूल्य निर्धारण

इनपुट मूल्य$5 / 1M टोकन
आउटपुट मूल्य$25 / 1M टोकन
मिश्रित मूल्य (3:1)$10 / 1M टोकन
कैश पठन मूल्य$0.5 / 1M टोकन
कैश लेखन मूल्य$6.25 / 1M टोकन

गति

टोकन/सेकंड0.0
पहले टोकन में देरी0.00s
पहले उत्तर में देरी0.00s

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

1 प्रदाता

प्रदाताइनपुटआउटपुट
1Anthropic
$0.00001
$0.00003

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