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Anthropic: Claude Opus 4.7

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Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

74.9% PinchBench§$5.00/1M input tokens
Context Window
1,000,000 tokens
Max Output
128,000 tokens
Input Modalities
textimagefile

Try Anthropic: Claude Opus 4.7 in Kilo Code

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Benchmarking Anthropic: Claude Opus 4.7

Coding Performance

Coding benchmarks and performance metrics for development tasks

Performance metrics from Artificial Analysis

PinchBench data · refreshed daily

OpenClaw Benchmarks

PinchBench measures how Anthropic: Claude Opus 4.7 performs on real OpenClaw agent tasks: multi-step execution, tool use, recovery, latency, and cost.

Average score

74.9%

#28 of 50 official models

Average time

275m 41s

14 runs · per OpenClaw task

Average cost

$60.390

Per benchmark run

Category breakdown

Best verified PinchBench v2 run by OpenClaw task family.

Memory100.0% · 2/2 cleared
Log Analysis97.2% · 12/30 cleared
Productivity95.9% · 4/8 cleared
Coding95.6% · 8/14 cleared

Top task results

Highest-scoring benchmark tasks from the same submission.

Analysis
Access Control Log Anomaly Detection
100.0%
Log Analysis
Apache Error Log - Identify Problematic Client IPs
100.0%
Csv Analysis
Apple Stock 2014 Trend Analysis
100.0%
Coding
Browser Automation Workflow
100.0%
Productivity
Calendar Event Creation
100.0%
Writing
Commit Message Writer
100.0%

Autonomous task execution

Anthropic: Claude Opus 4.7 shows emerging average success across OpenClaw-style benchmark runs, useful for recurring research, browser, and file-based automations.

Tool use and recovery

PinchBench tasks stress multi-step planning, tool calls, and judge-verified completion rather than single prompt coding snippets.

Agent workflow fit

Its deliberate average runtime and premium run cost help set expectations for long-running KiloClaw agents and production workflows.

Agentic benchmarks from the PinchBench Leaderboard

Real-World Usage

Real-world usage statistics from the Kilo Code community

Weekly Token Usage

Mode Rankings (Last Week)

Where this model ranks for each built-in mode

Code

Write, modify, and refactor code

No data

Ask

Get answers and explanations

No data

Debug

Diagnose and fix software issues

No data

Orchestrator

Coordinate tasks across multiple modes

#93

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$5.00
per 1M tokens
Output Tokens
$25.00
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.4500

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Model ID
anthropic/claude-opus-4.7
Created
April 16, 2026
Tokenizer
Claude
Input Modalities
text, image, file
Context Window
1,000,000 tokens
Max Completion Tokens
128,000 tokens
Input Price
$5.00 per 1M tokens
Output Price
$25.00 per 1M tokens
Cache Read Price
$0.50 per 1M tokens
Cache Write Price
$6.25 per 1M tokens
Content Moderation
Disabled

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