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Top-Tier Reasoning

Claude Opus 4.7

Claude Opus 4.7 is Anthropic's latest AI model that delivers exceptional performance on complex coding tasks, advanced reasoning, and high-resolution visual understanding with improved efficiency over its predecessor. It excels at handling long-running agentic workflows while following detailed instructions with precision and showing its work through transparent self-correction.

1M Context
Top-Tier Intelligence
Jan '26 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

MMLU
91.5%
GPQA
94.2%
SWE-bench Verified
87.6%

How do you want to interact?

Start a Conversation

Ask anything.
Have a natural conversation, brainstorm ideas, draft emails, or ask for advice.

Start Chatting

Use a Persona

Specialized Experts.
Instruct the AI to act as a Coding Tutor, Marketing Expert, or Travel Guide.

Pick a Persona

Why use Claude Opus 4.7?

High-Resolution Vision

Supports images up to 2576px/3.75MP for superior analysis of charts, documents, and screenshots with pixel-perfect coordinates

1M Token Context Window

Handles massive contexts like entire codebases and multi-day projects without compaction or premium pricing

Adaptive Thinking

Automatically adjusts thinking depth based on task complexity for efficient reasoning and long-horizon agentic work

Capability Examples

High-Resolution Vision Analysis
Analyze this high-res screenshot of a dense UI dashboard (imagine a 2576px image with charts, tables, and fine text) and extract key metrics like sales trends and anomalies.
Sales Q1 total: $2.47M, up 12% YoY. Anomaly: Spike in Region E on 3/15 (likely promo). Trends: Declining Europe share at 18%. Pixel-perfect coords confirm button at (1245,890) for drill-down.
Agentic Coding Task
Write a Python script to debug a race condition in this concurrent system code, prove safety first, then fix it autonomously over multiple steps.
Proof: Race detected via happens-before analysis—Thread A writes shared var before B reads. Fix: Added Lock.acquire/release around critical section. Script tested with 1000 runs: no failures. Here's full refactored code: python import threading lock = threading.Lock() def safe_update(): with lock: global shared_var shared_var += 1 Deploy-ready.

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure Claude Opus 4.7 is selected.

3
Type Prompt

Ask a question or paste code.

4
Interact

Refine the answer by replying to the AI.

Compare LLMs Side-by-Side

Is Claude Opus 4.7 better than Claude 3.5 or Gemini? Test same prompts simultaneously in the Chat Playground.

Open Chat Playground

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