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Claude Opus 5

Claude Opus the listed price is a general-purpose large language model positioned as a thoughtful, proactive upgrade over its predecessor Opus 4.8, focusing on agentic coding, computer use, and long-horizon knowledge work along with mathematical and scientific reasoning improvements. Rather than being tailored to a narrow specialty, it is built to slot into daily workflows, which is why it serves as the default model on premium consumer tiers and is intended for broad deployment. Its design emphasizes efficiency: customers can tune an effort setting to trade off deeper reasoning against token usage, and the system card describes it as a general-purpose model rather than one trained specifically for any single domain such as cybersecurity, where its skills reflect general capability gains.

On practical benchmarks, Opus the listed price reaches state-of-the-art results for its tier on coding and knowledge-work evaluations, including Frontier-Bench and GDPval-AA, and on Frontier-Bench v0.1 it surpasses every previously compared model while more than doubling Opus 4.8's performance at a lower cost per task. On CursorBench 3.2 at maximum effort, it comes within roughly half a percent of the peak score set by Anthropic's flagship frontier model while costing about half as much per task, and it delivers the best performance-per-cost on high, xhigh, and max effort settings among compared models. These gains make it a strong fit for software engineering teams and individual developers who want near-frontier reasoning without paying flagship prices, and for organizations looking to standardize a single capable model across coding assistance, document analysis, and tool-driven research workflows.

Ofoxanthropic/claude-opus-5claude-opus

Quick Info

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Provider
Ofox
Model key
anthropic/claude-opus-5
Release date
Jul 24, 2026
Last updated
Jul 24, 2026
Knowledge cutoff
2026-05
AI SDK package
@ai-sdk/anthropic
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$5.00
Output token cost
$25.00

Limits

Output tokens
128,000 tokens
Context window
1,000,000 tokens

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