Claude Opus 4.6 Pricing Breakdown
Claude Opus 4.6 is Anthropic’s flagship model — their most capable offering for complex reasoning, detailed analysis, and nuanced writing. It’s not cheap, but for tasks that demand the best, it’s hard to beat.
What You’re Paying For
At $15/1M input tokens and $75/1M output tokens, Opus sits at the premium end of the market. That 5x output multiplier is steeper than most competitors, which means Opus gets expensive fast on tasks that generate long outputs. Where it shines is when you need high-quality completions on the first try — fewer retries means fewer total tokens.
The 200K context window is included in the base price. You don’t pay extra for using more context, just the per-token rate on whatever you send. That said, filling up a 200K-token context window costs $3.00 per request in input tokens alone, so plan your context strategy carefully.
When Opus Makes Financial Sense
Opus is cost-effective when quality matters more than volume. Think:
- Legal or medical analysis where errors are expensive
- Complex code generation that needs to work on the first try
- Long-form content where rewrites cost more than getting it right
- Multi-step reasoning that cheaper models fumble
For batch classification, simple extraction, or high-volume chat, you’ll want Sonnet ($3/$15 per 1M) or Haiku ($0.80/$4 per 1M) instead. Most production systems route maybe 5-10% of traffic to Opus and handle the rest with lighter models.
Prompt Caching Savings
Anthropic’s prompt caching is a game-changer for Opus costs. If your system prompt or few-shot examples stay constant across requests, cached tokens are billed at a 90% discount. For a typical RAG setup where 80% of your prompt is cached context, that can cut your effective input cost from $15 to around $3 per million tokens.
Use the calculator above to plug in your actual usage numbers and see exactly what Opus will cost for your workload — and how it stacks up against every other model on the market.