COR Brief
C

Claude (Opus 4.5)

AI AssistantsvOpus 4.5

Anthropic's most intelligent and efficient AI for coding, agents, and computer use

By AnthropicUpdated 2025-12-16Visit Website ↗

Overview

Best-in-class coding: leads 7 out of 8 programming languages on SWE-bench Multilingual

Most robustly aligned frontier model with industry-leading prompt injection resistance

Dramatic token efficiency: 76% fewer output tokens while matching performance

Effort control parameter lets developers balance speed vs quality

Outperformed all human candidates on Anthropic's engineering take-home exam

Get Strategic Context for Claude (Opus 4.5)

Claude (Opus 4.5) is shaping the landscape. Get weekly strategic analysis with AI Intelligence briefings:

  • Market dynamics and competitive positioning
  • Implementation ROI frameworks and cost analysis
  • Vendor evaluation and build-vs-buy decisions
Try AI Intelligence Free →

7 days, no credit card required

Visual Guide

Nano Banana Slides

Interactive presentation generated by Manus Nano Banana

Key Features

Leads across 7 out of 8 programming languages on SWE-bench Multilingual. Handles long-horizon coding tasks more efficiently than any model tested, achieving higher pass rates while using up to 65% fewer tokens.

Best model for agents and computer use. Creative problem-solving that finds legitimate solutions others miss. Effective at managing teams of subagents for complex multi-agent systems.

Uses dramatically fewer tokens to solve problems. At medium effort, matches Sonnet 4.5's best SWE-bench score using 76% fewer output tokens. Real cost control without sacrificing quality.

New API parameter lets developers decide to minimize time/cost or maximize capability. Dynamic rather than overthinking - delivers needed quality while being dramatically more efficient.

Set new standard for Excel automation. 20% accuracy improvement, 15% efficiency gains. Complex financial modeling tasks that seemed out of reach became achievable.

Most robustly aligned model Anthropic has released. Hardest to trick with prompt injection attacks of any frontier model. 50-75% reduction in tool calling and build/lint errors.

Real-World Use Cases

Software Engineering

For

Debug production code, implement features, and refactor large codebases across multiple languages.

Example Prompt / Workflow

Financial Modeling

For

Build complex Excel models, automate spreadsheet workflows, and perform financial analysis.

Example Prompt / Workflow

Multi-Agent Systems

For

Coordinate teams of AI agents for complex research, development, and automation tasks.

Example Prompt / Workflow

Code Review at Scale

For

Review production code for bugs, security issues, and quality problems.

Example Prompt / Workflow

Frequently Asked Questions

Pricing

Model: Subscription + API

Free

$0
  • Limited Claude access
  • Basic features
  • Standard rate limits

Pro

$20/month
  • 5x more usage than Free
  • Priority access
  • Early feature access

Max

$100/month
  • 20x more usage than Pro
  • Claude for Chrome
  • Claude for Excel

Team

$30/user/month
  • All Max features
  • Admin console
  • Team collaboration

Enterprise

Custom
  • All Team features
  • SSO & SCIM
  • Custom data retention

Pros & Cons

Pros

  • Best-in-class coding across multiple languages
  • Most robustly aligned and safe frontier model
  • Dramatic token efficiency savings (up to 76%)
  • Effort control for cost/quality tradeoffs
  • Excellent at Excel and financial modeling
  • Strong multi-agent coordination capabilities

Cons

  • Opus tier pricing ($5/$25) higher than competitors
  • Max plan ($100/mo) required for full Opus access
  • Some creative solutions may be unexpected
  • Context window smaller than some competitors

Quick Start

1

Create Anthropic Account

Sign up at claude.ai with email or Google account.

2

Choose Your Plan

Select Free for basic access, Pro ($20/mo) for more usage, or Max ($100/mo) for full Opus 4.5 capabilities.

3

Select Model

Choose between Opus 4.5 (most capable), Sonnet 4.5 (balanced), or Haiku (fast and affordable).

4

Use Effort Control

For API users, set effort parameter to balance speed vs quality based on task requirements.

Alternatives