Claude Opus is the expensive end of Anthropic’s API lineup, but the price is now much easier to reason about than it was in earlier Claude 4 releases. If you are budgeting for agentic coding, long-context analysis, or high-stakes reasoning, the key question is not just “What does Claude Opus cost?” It is “When is the extra spend worth it?”
Claude Opus price today
Anthropic’s current pricing page lists Claude Opus 5 at:
| Model | Input | Output |
|---|---|---|
| Claude Opus 5 | $5 / MTok | $25 / MTok |
| Claude Opus 4.1, retired except on Bedrock and Google Cloud | $15 / MTok | $75 / MTok |
That means a 10,000-token prompt plus a 2,000-token response on Claude Opus 5 costs about $0.10 total.
Source: Anthropic pricing and Claude API pricing docs, checked August 17, 2026.
What Claude 4 cost usually means
If someone asks about “Claude 4 cost,” they are often referring to the older Opus 4.1 or Opus 4 pricing. Those retired tiers are still listed at $15 per million input tokens and $75 per million output tokens on the official pricing page, with exceptions for Bedrock and Google Cloud.
So the practical answer is:
- Newer Opus pricing is $5 / $25.
- Older Claude 4 Opus pricing was $15 / $75.
- The same model family can cost 3x more or less depending on which version you are actually buying.
Where the money goes
Opus spend is driven by four things:
- Prompt length
- Output length
- Retry rate
- How often you ask the model to do work that a cheaper model could have done first
For example, a workflow that drafts, classifies, and then revises the same answer will burn far more tokens than a workflow that uses one cheap routing step and one final reasoning step.
When Opus is worth it
Claude Opus makes sense when the cost of being wrong is higher than the model bill:
- Complex coding or architecture decisions
- Long document synthesis
- Multi-step agent planning
- High-precision analysis where a cheaper model keeps missing edge cases
If the task is simple extraction, routing, or summarization, Opus is usually overkill.
How to reduce spend with Novita AI
Use Novita AI LLM API to split the workflow by job type instead of sending everything to one expensive model.
- Use a cheaper model for routing, extraction, and draft generation.
- Reserve Opus-style reasoning for the final hard step.
- Use Novita Agent Sandbox when the workflow needs isolated execution, file access, or tool use.
That gives you two levers: lower token spend on inference and separate runtime cost for execution.
Bottom line
Claude Opus is premium pricing for premium reasoning. If your workflow needs that level, pay for it deliberately. If not, use Novita AI to route work more intelligently and keep the expensive tokens for the steps that matter most.
If you want a broader view of routing cost, fallback design, and execution boundaries, read Best Multi-Provider LLM Platform for Lower Cost and Downtime.
FAQ
Is Claude Opus 5 cheaper than Claude 4?
Yes. Opus 5 is $5 / MTok input and $25 / MTok output, while Claude 4 Opus pricing was $15 / MTok input and $75 / MTok output.
How can I estimate my monthly Claude Opus bill?
Multiply input tokens by $5 per million and output tokens by $25 per million, then add retries and cache behavior if you use them.
Should I use Opus for every agent step?
No. Use it only where the reasoning lift is worth the cost. Route simpler steps through a cheaper model first.
