Model Cost Profile

Anthropic: Claude Opus 4.1

Developer: anthropic

Pricing updated Mar 11, 2026

Input rank: #328Output rank: #331

Live Pricing

Input: $15.00

Output: $75.00

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Anthropic's Claude Opus 4.1 offers an extensive context window of 200,000 tokens, making it suitable for applications requiring deep contextual understanding, such as legal document analysis and long-form content generation. With an input price of $15.00 per million tokens and an output price of $75.00 per million tokens, teams must carefully evaluate their token usage to manage costs effectively while leveraging the model's capabilities. This pricing structure allows for scalable solutions in enterprise environments, where large volumes of data processing are common.

๐Ÿ‘ Vision๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output๐Ÿง  Reasoning

Context Window

200,000

Tokens

Input Price / 1M

$15.00

Prompt tokens

Output Price / 1M

$75.00

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Anthropic: Claude Opus 4.1 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$15.00$45.00$75.00Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$15.00

Current Output / 1M

$75.00

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Anthropic: Claude Opus 4.1.

How much does Anthropic: Claude Opus 4.1 cost per 1M input tokens?

Anthropic: Claude Opus 4.1 input pricing is $15.00 per 1M tokens based on the latest synced provider data.

How much does Anthropic: Claude Opus 4.1 cost per 1M output tokens?

Anthropic: Claude Opus 4.1 output pricing is $75.00 per 1M tokens based on the latest synced provider data.

What context window does Anthropic: Claude Opus 4.1 support?

Anthropic: Claude Opus 4.1 supports a context window of 200,000 tokens.

How can I compare Anthropic: Claude Opus 4.1 with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.