Anthropic: Claude Opus 4.7
by anthropic
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...
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Benchmarking Anthropic: Claude Opus 4.7
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
#13 of 42 official models
Average time
12 runs · per OpenClaw task
Average cost
Per benchmark run
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.
Compare the full OpenClaw leaderboard on PinchBench or run Anthropic: Claude Opus 4.7 in hosted OpenClaw agents with KiloClaw.
Best models for OpenClawReal-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
Architect
Plan and design before implementation
Code
Write, modify, and refactor code
Ask
Get answers and explanations
Debug
Diagnose and fix software issues
Orchestrator
Coordinate tasks across multiple modes
Real-world metrics from the Kilo Code Leaderboard
Pricing
Cost per 1 million 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
Pricing details from OpenRouter
Technical Details
Architecture and implementation specifications
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