Claude Opus 4.1

Anthropic chatreasoningtool_usevision Long

API ID: anthropic/claude-4.1-opus-20250805

Input Price
$15.00
/1M tokens
Output Price
$75.00
/1M tokens

About Claude Opus 4.1

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains in multi-file code refactoring, debugging precision, and detail-oriented reasoning. The model supports extended thinking up to 64K tokens and is optimized for tasks involving research, data analysis, and tool-assisted reasoning.

💰
Price Ranking
#1223 lowest price among 1240 Chat models

Model Specifications

Context Length
200k
Max Output
32k
Release Date
2025-08-05
Capabilities
chat reasoning tool_use vision
Input Modalities
imagetextfile
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$29.25
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$900.00
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$1237.50
/month
500 analyses/day, ~2k tokens each

Anthropic Model Lineup

Compare all models from Anthropic to find the best fit

Model Input Output Context Capabilities
Claude Opus 4.1 Current Free Free 200k chat reasoning tool_use vision
Claude 3.5 Haiku (2024-10-22) Free Free 200k chat vision
Claude 3.5 Sonnet (2024-06-20) Free Free 200k chat vision
Claude 3.5 Sonnet (2024-06-20) Free Free 200k chat vision
Claude 3 Sonnet Free Free 200k chat vision
Claude 3 Sonnet Free Free 200k chat vision

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🚀 Quick Start

Get started with Claude Opus 4.1 API

Anthropic Python SDK
import anthropic

client = anthropic.Anthropic()

message = client.messages.create(
    model="anthropic/claude-4.1-opus-20250805",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(message.content[0].text)