Model pricing page

Anthropic Opus 4.6 pricing

Opus 4.6 is the premium Anthropic option in the current dataset, so it is the page to open when quality gains need to justify a clearly higher per-token cost.

Why this page

Useful when you are pricing advanced reasoning, research, or customer-facing workflows where output quality matters more than baseline throughput.

Input / 1M
$5.00
Output / 1M
$25.00
Cached input
N/A
Context window
200,000 tokens
Planning context

How teams usually use this model

Best fit for

  • advanced reasoning
  • research workflows
  • premium customer experiences

Decision guide

Use Opus 4.6 when premium reasoning quality is a real business requirement and you need a harder cost check before putting it into customer-visible flows.

Tier view

Current tier breakdown

Use this table when the provider offers multiple service or context tiers and you need something more precise than one headline number.

Service tierContext tierInput / 1MCached / 1MOutput / 1M
StandardShort$5.00N/A$25.00
Source

Official reference

Tool Canopy keeps this page tied to the provider source so you can check the original pricing context when an update matters.

Open provider source
Last updated

2026-03-16

This page reflects the latest repo dataset snapshot for Anthropic / Opus 4.6.

Comparison context

Nearby pricing options to compare next

Use these adjacent pages when you need a faster alternative, a stronger model, or a better cost baseline before locking in a production default.

Recent notes

Latest change signals

2026-03-16

Detailed pricing tiers changed.

2026-03-16

Added new model to tracked pricing dataset.

FAQ

Common questions about this pricing page

How much does this model cost right now?

Opus 4.6 is currently listed at $5.00 input, $25.00 output, and N/A cached input per 1M tokens, with a 200,000 tokens context window. If the provider offers multiple tiers, use the tier table below for the more exact split.

When is this model usually the better fit?

Use Opus 4.6 when premium reasoning quality is a real business requirement and you need a harder cost check before putting it into customer-visible flows. Teams usually open this page for advanced reasoning, research workflows, premium customer experiences, then decide whether to move up to a stronger option or down to a cheaper default.

What should I check before I ship with this model?

Before shipping, check the tier split, whether cached-input pricing changes your workload math, and how this model looks on the compare page and pricing tracker. If you still need context, compare it against Anthropic Sonnet 4.6 pricing and OpenAI GPT-5.4 Pro pricing and then run the token calculator for a monthly estimate.